PhD Student 'Increasing Robustness of Speech Recognition' (1,0 fte)

Renewed Job opening !

Faculty of Arts Vacancy number: 23.02.12 Closing date: 7 July 2012

Responsibilities

As a PhD student you will participate in the FP7 Marie Curie Initial Training Network Investigating Speech Processing In Realistic Environments (INSPIRE). This network provides research opportunities for 13 PhD students and 3 postdocs. You will become a member of an international team of researchers whose aim is to gain a better understanding of how listeners recognize speech, even under non-ideal circumstances. You will contribute to urgently needed solutions that help alleviate the serious communication problems that arise, especially for older and hearing-impaired persons, when different combinations of 'adverse' conditions affect the speech processing system. You will conduct your research in the framework of of a project called ’Increasing robustness of speech recognition by using multiple signal representations’. Speech processing in the human brain presumably involves competition between multiple, intermediate signal representations. The redundancy of these different representations are assumed to help improve the robustness of recognition. In some cases, however, they may lead to conflicting interpretations resulting in intelligibility problems. The goal of this PhD project is to investigate to what extent human recognition errors with regard to speech in ’adverse’ conditions can be replicated by machines that were trained on multiple input representations which are partially redundant.

Work environment

The project will be carried out at the Centre for Language and Speech Technology (CLST). CLST is a research unit within the Faculty of Arts of Radboud University Nijmegen and hosts a large international group of senior researchers and PhD students who conduct research at the frontier of science and develop innovative applications.

What we expect from you

You should: - hold a Master's degree in engineering or science; - have a strong background in machine learning (experience with dynamic Bayesian networks would be an advantage), mathematical and/or statistical modelling, and signal processing; - have excellent programming skills; - be willing to spend several months at the Technical University of Denmark. Prior exposure to courses in linguistics or speech- or hearing-related fields would be an advantage. Furthermore, you should comply with the rules set forward by the FP7 Marie Curie ITNs, i.e. you should: - not have resided of performed your main research activity in the Netherlands for more than 12 months in the last three years; - be willing to work in at least one other country in the INSPIRE network; - have less than 4 years of research experience since you obtained your Master’s degree, and not hold a PhD.

What we have to offer

We offer you: - employment: 1,0 fte; - in addition to the salary: an 8% holiday allowance and an 8.3% end-of-year bonus; - the starting salary is €2,042 per month on a full-time basis; the salary will increase to €2,492 per month in the third year; - in addition to the salary, you will receive travel and training allowances on the basis of generous Marie Curie ITN provisions; - duration of the contract: 18 months with the possibility of extension by another 18 months.

Are you interested in our excellent employment conditions

(http://www.ru.nl/newstaff/working_at_radboud/conditions_of/)?

The Radboud University is an equal opportunity employer. Female researchers are strongly encouraged to apply for this vacancy.

Would you like to know more?

Further information on: Investigating Speech Processing In Realistic Environments (http://www.inspire-itn.eu/) Dr. Bert Cranen, assistant professor Speech science Telephone: +31 24 3612904 E-mail: B.Cranen@let.ru.nl

Applications

Are you interested? Please include with your application: - a CV; - a 2-page description of your research interests explaining why the INSPIRE goals appeal to you, how the INSPIRE team may benefit from your participation, and your career perspectives as expected from INSPIRE; - university transcripts; - names and email addresses of two potential referees (or alternatively letters of recommendation). It is Radboud University Nijmegen's policy to only accept applications by e-mail. Please send your application, stating vacancy number 23.02.12, to vacatures@let.ru.nl, for the attention of drs. M.J.M. van Nijnatten, before 7 July 2012. No commercial propositions ple

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Job Description

Title: 

Speech Recognition Scientist

Location: 

Sunnyvale

Status: 

Regular, Full-time, Exempt

We are a well-funded start-up with cutting-edge speech recognition with a disruptive technology platform applicable to a variety of markets and environments for spoken dialog interaction.  With an exciting mix of evolving speech-enabled products, we offer excellent opportunities for 'rock star' scientists to grow and share in our success.  We offer competitive compensation, excellent benefits and an ultra-creative work environment. 

We are currently seeking a talented speech recognition scientist to join our hands-on team developing our platform spoken dialog interactions. The ideal candidate has a proven track record for optimizing speech recognition performance.　This work includes creating the necessary scripts and tools to experiment with novel algorithms to optimize recognition and natural language understanding throughout all stages of a multi-modal dialog system. Among others, you will be asked to work on statistical language modeling, as well as language model and acoustic model adaptation.

Responsibilities

Develop tools and enhance algorithms that facilitate deployment and tuning of spoken dialog systems

Analyze speech recognition performance andimplement solutions to provide optimum accuracy

Use, improve and create research tools to create, update and optimize language models and speech recognition systems for multiple domains

Evaluate and develop different language modeling and rescoring based on machine learning algorithms

Document language model development and adaptation process

Work with the team to design future product releases

Required Skills & Experience

Ph.D. or Master’s degree in computer science, electrical engineering, comp. linguistics, or equivalent

Speech and/or language processing background (in research and/or industry)

In-depth scripting experience with Python, Perl or similar

Ability to own and drive experimental definition, investigations and ultimately be responsible for the speech recognition performance

Passion for solving difficult problems

Strong planning and communication skills

Strong analytical and problem solving skills and ability to troubleshoot issues

Pluses:

Background in natural language processing, machine learning and/or computational linguistics

Programming experience in C/C++

Qualified candidates are encouraged to send your resume and cover letter to

swright@fluentialinc.com.   Fluential, LLC, is an Equal Opportunity Employer.  To learn more, please visit us online at http://www.fluentialinc.com

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Nuance is a leading provider of speech and imaging solutions for businesses and consumers around the world. Our technologies, applications and services make the user experience more compelling by transforming the way people interact with information and how they create, share and use documents. Every day, millions of users and thousands of businesses, experience Nuance by calling directory assistance, getting account information, dictating patient records, telling a navigation system their destination, or digitally reproducing documents that can be shared and searched. Making each of those experiences productive and compelling is what Nuance is all about.

As a contributing member of Nuance, you will work within a dynamic team environment to develop, support, market and sell our award-winning software applications. We offer competitive compensation packages and a casual work environment. Join our dynamic, entrepreneurial team that operates worldwide (Europe, US, APAC). Be a part of our fast growing track of continuing success.

For more information, please see www.nuance.com.

Nuance is an equal opportunity employer.

For our office in Turin / Italy we are currently looking for a fulltime

Voice Developer (m/f)

Speech Technology Automotive

Key responsibilities.

• ·         Develop voices for the range of Nuance Text-to-Speech Products.

• Processing speech data for   text-to-speech speech data bases
• Supervising native contractors in   annotation of speech databases
• Creating speech   databases
• Building text-to-speech   voices
• Testing and product development of   the TTS voice
• Testing and quality assessment of   the integrated system

Qualifications.

• MSc degree in phonetics,   computational linguistics or another relevant field.
• first working   experience
• Working in Windows and Unix/Linux   environment
• Strong sense of precision and   quality in your daily job
• Fluent in   English
• Understanding of phonological and   phonetic concepts
• Ability to interpret   spectrograms
• Ability to write high quality   documentation
• Ability to work independently as   well as in a team
• Good problem solving, analytic   skills and troubleshooting skills
• Basic experience with scripting   languages like Perl or Python
• Experience with acoustic   phonetics
• Experience in text-to-speech voice   development
• Speaking other   languages
• Experience using tools such as   Audition or Praat

We offer.

At Nuance Communications we believe our people are our most valuable asset.

We offer competitive compensation packages and we offer you career development opportunities in a challenging technical but casual work environment.

As a Nuance team member you will work within a dynamic international team operating worldwide.

Does Nuance speak to you?

If you are interested in joining our team, please send your English CV including earliest starting date and salary expectations via our Recruiting tool https://jobs-nuance.icims.com/jobs/7804/job.

Nuance's Mobility Division builds innovative, intelligent and intuitive touch and speech interfaces to simplify and enhance the way people interact with mobile devices, applications, and services.  Nuance Mobile solutions make mobile devices and in-car systems easier to use, automate customer self-service, and optimize the access and discovery of even the most advanced mobile applications and content - regardless of technical know-how, location, environment, or physical and literacy capabilities.

ILONA ALEXANDRA HOLTZ

Recruiter - Employment Specialist DACH

Human Resources

Nuance Communications Aachen GmbH

Site Ulm

Soeflingerstr. 100

D-89077 Ulm, Germany

Fon       +49 731 - 379 50 1166

Fax       +49 731 - 379 50 1106 (Zentrale)

Mobil     +49 170 56 15 235

WWW.NUANCE.COMThe experience speaks for itself ™

Geschäftsführung/Director: Jan Anthierens

Sitz der Gesellschaft/Registered Office: Aachen

Registergericht/Court of Registration: Aachen

Reg. Nr.: HRB 11872

USt-ID/VAT: DE 813191696

This electronic transmission and any files transmitted with it are confidential. It is transmitted for the sole use of the person(s) to whom it is addressed. Any further distribution or copying is prohibited. If you receive this message in error, please inform the sender immediately, do not use it or disclose its contents and delete it from your system. Please note that Nuance cannot guarantee that the transmission will be secure or error-free.

Experience Nuance in the web: http://www.youtube.com/watch?v=32QbXebhiag&list=UUtmZ1Vk2yFJkOe1DYQwLgag&index=1&feature=plcp

Or

http://www.youtube.com/watch?v=RkiYr8aw5pE&feature=related

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For our office in Merelbeke / Belgium we are currently looking for a fulltime

Speech Output Designer (m/f)

Speech Technology Automotive

Key responsibilities.

• ·         Design and implement voice customizations for Nuance Text-to-Speech Products

• Gathering and analyzing cutomer   requirements for custom voices
• Defining strategies for optimized   speech output 
• Designing text corpora for   recording
• Developing User Dictionaries and   rules for customer applications
• Training and supervising native   contractors in prompt tuning
• Interacting with professional   services teams and contributing to customer project   success

Qualifications.

• High School diploma or Bachelor   Degree in languages, phonetics, computational linguistics or another relevant   field
• some years of work experience  
• Working in Windows (and   Linux/Unix) environment
• Language skills (grammar,   punctuation, spelling, phonetics, etc.)
• Ability to appreciate acoustic and   prosodic quality of speech
• Basic understanding of   Text-to-speech technology
• Experience in TTS prompt   tuning
• Ability to work in an   international team and to coordinate contractors
• Fluent in   English
• Ability to   write high quality documentation
• Experience   with speech output applications
• Experience with acoustic   phonetics
• Basic experience with scripting   languages like Perl or Python
• Speaking some other   languages

We offer.

At Nuance Communications we believe our people are our most valuable asset.

We offer competitive compensation packages and we offer you career development opportunities in a challenging technical but casual work environment.

As a Nuance team member you will work within a dynamic international team operating worldwide.

Does Nuance speak to you?

If you are interested in joining our team, please send your English CV including earliest starting date and salary expectations via our Recruiting tool https://jobs-nuance.icims.com/jobs/7801/job .

Nuance's Mobility Division builds innovative, intelligent and intuitive touch and speech interfaces to simplify and enhance the way people interact with mobile devices, applications, and services.  Nuance Mobile solutions make mobile devices and in-car systems easier to use, automate customer self-service, and optimize the access and discovery of even the most advanced mobile applications and content - regardless of technical know-how, location, environment, or physical and literacy capabilities.

ILONA ALEXANDRA HOLTZ

Recruiter - Employment Specialist DACH

Human Resources

Nuance Communications Aachen GmbH

Site Ulm

Soeflingerstr. 100

D-89077 Ulm, Germany

Fon       +49 731 - 379 50 1166

Fax       +49 731 - 379 50 1106 (Zentrale)

Mobil     +49 170 56 15 235

WWW.NUANCE.COMThe experience speaks for itself ™

Geschäftsführung/Director: Jan Anthierens

Sitz der Gesellschaft/Registered Office: Aachen

Registergericht/Court of Registration: Aachen

Reg. Nr.: HRB 11872

USt-ID/VAT: DE 813191696

This electronic transmission and any files transmitted with it are confidential. It is transmitted for the sole use of the person(s) to whom it is addressed. Any further distribution or copying is prohibited. If you receive this message in error, please inform the sender immediately, do not use it or disclose its contents and delete it from your system. Please note that Nuance cannot guarantee that the transmission will be secure or error-free.

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For our office in Turin / Italy we are currently looking for a fulltime

Speech Output Designer (m/f)

Speech Technology Automotive

Key responsibilities.

• ·         Design and implement voice customizations for Nuance Text-to-Speech Products

• Gathering and analyzing cutomer   requirements for custom voices
• Defining strategies for optimized   speech output 
• Designing text corpora for   recording
• Developing User Dictionaries and   rules for customer applications
• Training and supervising native   contractors in prompt tuning
• Interacting with professional   services teams and contributing to customer project   success

Qualifications.

• High School diploma or Bachelor   Degree in languages, phonetics, computational linguistics or another relevant   field
• some years of work experience  
• Working in Windows (and   Linux/Unix) environment
• Language skills (grammar,   punctuation, spelling, phonetics, etc.)
• Ability to appreciate acoustic and   prosodic quality of speech
• Basic understanding of   Text-to-speech technology
• Experience in TTS prompt   tuning
• Ability to work in an   international team and to coordinate contractors
• Fluent in   English
• Ability to   write high quality documentation
• Experience   with speech output applications
• Experience with acoustic   phonetics
• Basic experience with scripting   languages like Perl or Python
• Speaking some other   languages

We offer.

At Nuance Communications we believe our people are our most valuable asset.

We offer competitive compensation packages and we offer you career development opportunities in a challenging technical but casual work environment.

As a Nuance team member you will work within a dynamic international team operating worldwide.

Does Nuance speak to you?

If you are interested in joining our team, please send your English CV including earliest starting date and salary expectations via our Recruiting tool https://jobs-nuance.icims.com/jobs/7801/job .

Nuance's Mobility Division builds innovative, intelligent and intuitive touch and speech interfaces to simplify and enhance the way people interact with mobile devices, applications, and services.  Nuance Mobile solutions make mobile devices and in-car systems easier to use, automate customer self-service, and optimize the access and discovery of even the most advanced mobile applications and content - regardless of technical know-how, location, environment, or physical and literacy capabilities.

ILONA ALEXANDRA HOLTZ

Recruiter - Employment Specialist DACH

Human Resources

Nuance Communications Aachen GmbH

Site Ulm

Soeflingerstr. 100

D-89077 Ulm, Germany

Fon       +49 731 - 379 50 1166

Fax       +49 731 - 379 50 1106 (Zentrale)

Mobil     +49 170 56 15 235

WWW.NUANCE.COMThe experience speaks for itself ™

Geschäftsführung/Director: Jan Anthierens

Sitz der Gesellschaft/Registered Office: Aachen

Registergericht/Court of Registration: Aachen

Reg. Nr.: HRB 11872

USt-ID/VAT: DE 813191696

This electronic transmission and any files transmitted with it are confidential. It is transmitted for the sole use of the person(s) to whom it is addressed. Any further distribution or copying is prohibited. If you receive this message in error, please inform the sender immediately, do not use it or disclose its contents and delete it from your system. Please note that Nuance cannot guarantee that the transmission will be secure or error-free.

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For our office in Turin / Italy we are currently looking for a fulltime

Co Producer (m/f)

Speech Technology Automotive

Key responsibilities:

• Produce audio recordings for   Nuance Text-to-Speech Products
• Assisting with (coached) Casting   of Voice Talents for TTS
• Assisting with the analysis of   Casting-recordings
• Coaching Voice Talents for   TTS-recordings – in a Recording Studio and from   remote
• Supervise Mother-tongue linguists   in a recording situation
• Preparation of the scripts (in   collaboration with others)
• Manage the data-flow of the   recorded output
• Assistance with overhead   (contracts, negotiations)

Qualifications:

• Degree in languages or another   relevant field
• some years of working   experience
• Experience with TTS-technology,   understanding the technology.
• Experience with the coaching of   TTS-Voice Talents
• Ability to understand on the fly   what we need from a VT, and to communicate this to the   VT
• Excellent communicative and   collaborative skills
• Very good knowledge of English +   some other languages
• Experience in a Recording-studio   environment
• Willing to   travel
• Knowledge of recording software,   like Pro-Tools, Voxover, …
• Linguistic   knowledge
• Creative,   flexible
• Even more languages (Spanish,   east-European, Asian..)

We offer.

At Nuance Communications we believe our people are our most valuable asset.

We offer competitive compensation packages and we offer you career development opportunities in a challenging technical but casual work environment.

As a Nuance team member you will work within a dynamic international team operating worldwide.

Does Nuance speak to you?

If you are interested in joining our team, please send your English CV including earliest starting date and salary expectations via our Recruiting tool https://jobs-nuance.icims.com/jobs/7799/job .

Nuance's Mobility Division builds innovative, intelligent and intuitive touch and speech interfaces to simplify and enhance the way people interact with mobile devices, applications, and services.  Nuance Mobile solutions make mobile devices and in-car systems easier to use, automate customer self-service, and optimize the access and discovery of even the most advanced mobile applications and content - regardless of technical know-how, location, environment, or physical and literacy capabilities.

ILONA ALEXANDRA HOLTZ

Recruiter - Employment Specialist DACH

Human Resources

Nuance Communications Aachen GmbH

Site Ulm

Soeflingerstr. 100

D-89077 Ulm, Germany

Fon       +49 731 - 379 50 1166

Fax       +49 731 - 379 50 1106 (Zentrale)

Mobil     +49 170 56 15 235

WWW.NUANCE.COMThe experience speaks for itself ™

Geschäftsführung/Director: Jan Anthierens

Sitz der Gesellschaft/Registered Office: Aachen

Registergericht/Court of Registration: Aachen

Reg. Nr.: HRB 11872

USt-ID/VAT: DE 813191696

This electronic transmission and any files transmitted with it are confidential. It is transmitted for the sole use of the person(s) to whom it is addressed. Any further distribution or copying is prohibited. If you receive this message in error, please inform the sender immediately, do not use it or disclose its contents and delete it from your system. Please note that Nuance cannot guarantee that the transmission will be secure or error-free.

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For our office in Turin / Italy we are currently looking for a fulltime

Tools Developer (m/f)

Software Engineering C/C++

Speech Technology Automotive

Key responsibilities:

• Analyze requirements for improving   the Text-to-Speech Voice Building Process
• Develop methodologies, scripts and   procedures to improve efficiency and quality
• Develop speech analysis algorithms   to be applied in building text-to-speech voices
• Adapt and extend existing in-house   voice building technologies in view of large-scale production   
• Study and experiment automatic   learning and statistical approaches in order to minimize the need for manually   labeled data
• Design and develop software   components to be used in local, networked or Internet-related tools for voice   building
• Make sure tools are efficient and   easy to use and provide support to users
• Document, test, debug and modify   software components of voice building tools

Qualifications:

• Master degree in Electronic   Engineering / Computer Science / Computer Engineering
• 2 or more years of medium to   large-scale application development through complete   lifecycle
• Software Engineering   (C/C++);
• Experience with process   optimization;
• Signal Processing, voice   recognition, HMM, neural networks;
• One or more scripting languages   (PHP, Python, Perl, Awk);
• Experience working with software   versioning and revision control systems;
• Comfortable working both   independently and as part of a large international   team;
• Fluent in   English
• Data   processing
• Experience working with   Multithreading / Multithreaded Programming

We offer.

At Nuance Communications we believe our people are our most valuable asset.

We offer competitive compensation packages and we offer you career development opportunities in a challenging technical but casual work environment.

As a Nuance team member you will work within a dynamic international team operating worldwide.

Does Nuance speak to you?

If you are interested in joining our team, please send your English CV including earliest starting date and salary expectations via our Recruiting tool https://jobs-nuance.icims.com/jobs/7797/job .

Nuance's Mobility Division builds innovative, intelligent and intuitive touch and speech interfaces to simplify and enhance the way people interact with mobile devices, applications, and services.  Nuance Mobile solutions make mobile devices and in-car systems easier to use, automate customer self-service, and optimize the access and discovery of even the most advanced mobile applications and content - regardless of technical know-how, location, environment, or physical and literacy capabilities.

ILONA ALEXANDRA HOLTZ

Recruiter - Employment Specialist DACH

Human Resources

Nuance Communications Aachen GmbH

Site Ulm

Soeflingerstr. 100

D-89077 Ulm, Germany

Fon       +49 731 - 379 50 1166

Fax       +49 731 - 379 50 1106 (Zentrale)

Mobil     +49 170 56 15 235

WWW.NUANCE.COMThe experience speaks for itself ™

Geschäftsführung/Director: Jan Anthierens

Sitz der Gesellschaft/Registered Office: Aachen

Registergericht/Court of Registration: Aachen

Reg. Nr.: HRB 11872

USt-ID/VAT: DE 813191696

This electronic transmission and any files transmitted with it are confidential. It is transmitted for the sole use of the person(s) to whom it is addressed. Any further distribution or copying is prohibited. If you receive this message in error, please inform the sender immediately, do not use it or disclose its contents and delete it from your system. Please note that Nuance cannot guarantee that the transmission will be secure or error-free.

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Voice Manager (m/f)

Speech Technology Automotive

Key responsibilities:

• ·       Casting and coaching of Voice Talents
• ·       Designing text corpora for recording and testing
• ·       Processing speech data for text-to-speech speech data bases
• ·       Building and testing text-to-speech voices
• ·       Managing all technical aspects of a TTS voice development
• ·       Supporting our professional services teams and contributing to customer project success

Qualifications:

• MSc degree in Languages /   Computational linguistics / Electronic Engineering or another relevant   field
• some work   experience
• Working in a Windows and   Unix/Linux environment
• Basic experience with scripting   languages like Perl or Python
• Understanding of phonological and   phonetic concepts
• Basic understanding of   Text-to-speech technology
• Strong sense of precision and   quality in your daily job
• Fluent in   English
• Ability to write high quality   documentation
• Experience with acoustic phonetics   preferred
• Experience in text-to-speech voice   development would be an asset
• Speaking some other languages   preferred

We offer.

At Nuance Communications we believe our people are our most valuable asset.

We offer competitive compensation packages and we offer you career development opportunities in a challenging technical but casual work environment.

As a Nuance team member you will work within a dynamic international team operating worldwide.

Does Nuance speak to you?

If you are interested in joining our team, please send your English CV including earliest starting date and salary expectations via our Recruiting tool https://jobs-nuance.icims.com/jobs/7795/job.

Nuance's Mobility Division builds innovative, intelligent and intuitive touch and speech interfaces to simplify and enhance the way people interact with mobile devices, applications, and services.  Nuance Mobile solutions make mobile devices and in-car systems easier to use, automate customer self-service, and optimize the access and discovery of even the most advanced mobile applications and content - regardless of technical know-how, location, environment, or physical and literacy capabilities.

ILONA ALEXANDRA HOLTZ

Recruiter - Employment Specialist DACH

Human Resources

Nuance Communications Aachen GmbH

Site Ulm

Soeflingerstr. 100

D-89077 Ulm, Germany

Fon       +49 731 - 379 50 1166

Fax       +49 731 - 379 50 1106 (Zentrale)

Mobil     +49 170 56 15 235

WWW.NUANCE.COMThe experience speaks for itself ™

Geschäftsführung/Director: Jan Anthierens

Sitz der Gesellschaft/Registered Office: Aachen

Registergericht/Court of Registration: Aachen

Reg. Nr.: HRB 11872

USt-ID/VAT: DE 813191696

This electronic transmission and any files transmitted with it are confidential. It is transmitted for the sole use of the person(s) to whom it is addressed. Any further distribution or copying is prohibited. If you receive this message in error, please inform the sender immediately, do not use it or disclose its contents and delete it from your system. Please note that Nuance cannot guarantee that the transmission will be secure or error-free.

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Pearson has one defining goal: to help people progress in their lives through learning. We champion innovation and we invest in models for education that deliver on our promise for effective, accessible, and personal learning from early literacy, college and career readiness to professional education, through data informed instruction and inventive applications for mobile and digital learning.

Pearson, the world's leading learning company, has global-reach and market leading businesses in education, business, and consumer publishing and is listed on the London and New York stock exchanges (UK: PSON; NYSE: PSO). For more information, visit www.pearson.com.

Pearson is an Equal Opportunity and Affirmative Action Employer, and a member of E-Verify. All qualified applicants, including minorities, women, veterans, and people with disabilities are encouraged to apply.

Responsible for advancing the state of the company's automated grading technology while working with the sales, marketing and test development teams to solve practical problems from the field. The position demands a person who has broad interests and is motivated to design and implement improvements to the company’s system. Opportunities for further research in applicable areas are available.

Senior Research Scientist:

Responsibilities of this role:
• The whole R&D cycle (building language models, training acoustic models, building statistical models for measuring the performance, etc.) for automated grading of different test system.
• Design new algorithms for different purpose (such as improving the grading performance).
• Do data analysis for different requirements.
• Write different scripts and tools to support the sales, marketing and test development teams.
• Maintain grading system.

Qualifications:

Personality attributes/skills required:
• Knowledge of speech recognition, probabilistic systems, statistical models.
• Strong background in statistical modeling and machine learning.
• Extensive experience programming in C/C++.
• Proficiency with SQL, Perl and Matlab.
• Demonstrate a willingness to learn and apply a wide range of technologies
• Experience with linguistic and statistical analysis of natural language would be highly desirable.
• Ph.D. with 3-5 years of applied experience in the field

• Experience in designing and running ASR experiments using HTK a plus
• Strong written and verbal communication skills

Please apply online at www.pearsoned.com/careers

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Pearson has one defining goal: to help people progress in their lives through learning. We champion innovation and we invest in models for education that deliver on our promise for effective, accessible, and personal learning from early literacy, college and career readiness to professional education, through data informed instruction and inventive applications for mobile and digital learning.

Pearson, the world's leading learning company, has global-reach and market leading businesses in education, business, and consumer publishing and is listed on the London and New York stock exchanges (UK: PSON; NYSE: PSO). For more information, visit www.pearson.com.

Pearson is an Equal Opportunity and Affirmative Action Employer, and a member of E-Verify. All qualified applicants, including minorities, women, veterans, and people with disabilities are encouraged to apply.

Research Scientist:

Responsible for advancing the state of the company's automated grading technology while working with the sales, marketing and test development teams to solve practical problems from the field. The position demands a person who has broad interests and is motivated to design and implement improvements to the company’s system. Opportunities for further research in applicable areas are available.

Day-to-day responsibilities of this role:
• The whole R&D cycle (building language models, training acoustic models, building statistical models for measuring the performance, etc.) for automated grading of different test system.
• Design new algorithms for different purpose (such as improving the grading performance).
• Do data analysis for different requirements.
• Write different scripts and tools to support the sales, marketing and test development teams.
• Maintain grading system.

Qualifications:

Personality attributes/skills required:
• Knowledge of speech recognition, probabilistic systems, statistical models.
• Strong background in statistical modeling and machine learning.
• Extensive experience programming in C/C++.
• Proficiency with SQL, Perl and Matlab.
• Demonstrate a willingness to learn and apply a wide range of technologies
• Experience with linguistic and statistical analysis of natural language would be highly desirable.
• Ph.D. or ABD (with graduation in 2012) in EE, CS or relevant areas with 0-2 yrs working experience
• Experience in designing and running ASR experiments using HTK a plus
• Strong written and verbal communication skills

Apply online at www.pearsoned.com/careers

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INESC-ID Open Positions
   
    INESC-ID invites applications for researchers, starting 2012. We are     interested in PhD researchers, fluent in English and with autonomous     research abilities. We expect that the candidate develop scientific     research in the topics described below.
   
   
       

The    Institution

Instituto de Engenharia de Sistemas e  Computadores, Investigação e Desenvolvimento em Lisboa (INESC-ID) is one of the         most dynamic research institutes in Portugal in the areas of communication and information technologies. The activity of INESC-ID is focused on the following  area: Interactive Intelligent Systems  (http://www.inesc-id.pt).

Job           Description

Successful candidates will be integrated in an existing research group at INESC-ID and will conduct research  focusing on:

•           Development    and evaluation of human-systems,
•           Natural  language understanding,
•           Agents,
•           Graphical modeling and visualization and robot relations.

By addressing the  creation of intelligent and  affective relations with machines, together with intelligent  visualization and         virtual environments, the candidate will develop techniques that  will advance  the state of the art in building dialogue, multi-modal  interaction and  affective relations with machines.

The work will be  carried out in one of the  three groups: Spoken Language Systems, Intelligent Agents and  Synthetic         Characters or Visualization and Multi-modal Interactions.

The position holder is expected to develop scientific research preferably within these topics, and will be encouraged to start their own projects in coordination with colleagues. Excellent candidates in related areas are also strongly encouraged to apply.

Qualifications Required          

Applicants should  hold a PhD, be fluent in  English and show evidence of autonomous research abilities. The  should be         willing to work in a team and also have a strong publication  record. The successful  candidate should propose an innovative research project with relevance for the  research area where she/he will be integrated.

Contract   Conditions

INESC-ID is an  equal opportunity employer that implements the principle of equal treatment and training  irrespective of         religion or belief, disability, age or sexual orientation in  employment. The contract corresponds to a salary of a Research Assitant  Professor in Portugal.   Successful applicants will be in post from August 2012.

Application  Deadline

July 15^th  2012

Application   details

INESC-ID invites eligible individuals to submit their expressions of interest, which must include an application letter, a detailed CV, a 1-page outline of a proposed research program, and is highly recommended to include reference letters.

All documents  should be sent by email to applications@inesc-id.pt and/or snail mail to: Direcção INESC-ID, R. Alves Redol, 9, 1000-029  Lisboa, Portugal.

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Language Processing Software Engineer

At ONMOBILE SA, an IT and Telecom VAS company, we hire at the earliest possible date an experienced natural language processing (NLP) software engineer for new research and development projects on automatic speech recognition, text processing, and multilingual question-answering systems.

We are looking for a software development engineer with NLP development or research background on either commercial or academic speech recognition systems. You will be familiar with and have practical experience in the following areas:

State-of-the-art NLP technologies (robust parsing, finite-state transducers FSTs, statistical language modelling etc.)

Semantic Web technologies like RDF, OWL, SPARQL

Ability to develop with Eclipse RCP

Strong programming skill with modern programming languages (C++, Java) and scripting languages

Expertise in speech recognition, acoustic modelling, and audio/video processing is a plus

You should have an engineer school or university degree in computer science or related disciplines. A PhD or an equivalent level of experience would be helpful.

An application-oriented perspective and a concern for customers with strong analytical and problem solving skills are required. You should be capable to work independently when needed.

Other skills: transparent behaviour, clarity of expression, ability to work in a multi-cultural team.

Languages: fluent in English, French

The position is based in Paris, France.

Contact by email to WenXuan TENG (

teng.wenxuan@onmobile.com)

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Speech and Audio Processing Software Engineer

At ONMOBILE SA, an IT and Telecom VAS company, we are hiring at the earliest possible date an experienced Speech and Audio Processing Software Engineer for research and development projects on automatic speech recognition, text processing, and multilingual question-answering systems.

We are looking for a software development engineer with speech recognition and audio processing development or research background on either commercial or academic speech recognition systems. You will be familiar with and have practical experience in the following areas:

State-of-the-art speech recognition technologies (decoder, language models, acoustic models, signal processing) and their implementation within efficient recognition and training systems

Audio and signal processing for de-noising, acoustic feature extraction, audio fingerprinting, karaoke scoring etc.

Strong programming skill with modern programming languages (C++, Java) and scripting languages

Expertise in NLP technologies is a plus

You should have an engineer school or university degree in signal processing or computer science or related disciplines. A PhD or an equivalent level of experience would be helpful.

An application-oriented perspective and a concern for customers with strong analytical and problem solving skills are required. You should be capable to work independently when needed.

Other skills: transparent behaviour, clarity of expression, ability to work in a multi-cultural team.

Languages: fluent in English, French

The position is based in Paris, France.

Contact by email to WenXuan TENG (

teng.wenxuan@onmobile.com)

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2-4 PhD positions in Speech Technology and Communication   

The goal of the positions is to contribute to the research foundation for speech technology in tomorrow's conversational systems.

Anticipated specializations

• Data-driven Dialogue Management
• Incremental Input Fusion and Understanding
• Avatars that Interact Through Speech, Gesture or Sign Language
• Novel Methods for Automatic Speech Recognition and Understanding

The positions include free tuition and are salaried 4 year employments, presently starting at 2800 euro/month increasing to 3400 euro/month for the last year.

To get information about how to apply for the positions go to http://www.speech.kth.se/vacancies/

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Thèse CIFRE à Orange Labs (Issy les Moulineaux, Paris).

Sujet de la thèse : Apprentissage par renforcement dans un système de dialogue incrémental

L’objectif général de la thèse est d’implanter, d’adapter, d’optimiser et d’intégrer un algorithme d’apprentissage par renforcement dans un système de dialogue incrémental.

La thèse produira une analyse extensive, proche de l’exhaustivité, de l’apprentissage par renforcement dans un environnement événementiel, domaine très peu exploré par la littérature scientifique actuellement. Cette analyse débouchera sur la réalisation de plusieurs algorithmes qui passeront un banc d’essai. L’algorithme le plus performant/prometteur fera l’objet d’une analyse plus poussée et sera intégrée à une application de dialogue expérimentale, pour démontrer son efficacité dans son environnement naturel.

Les défis scientifiques sont nombreux. La thèse rapproche plusieurs domaines scientifiques à la fois très pointus et hétérogènes : l’apprentissage automatique, les systèmes distribués, et le dialogue, qui est lui-même une discipline par nature multi-compétence, du traitement automatique de la langue naturelle au traitement du signal, en passant par la psychologie cognitive. Un premier défi est donc de prendre suffisamment de recul pour intégrer toutes ces composantes dans une seule image globale. Un second défi, plus mathématique, consiste à adapter les algorithmes d’apprentissage par renforcement à un modèle de décisions événementiel. Un troisième défi, de l’ordre de l’ingénierie, concerne l’intégration dans, et le développement d’une application de dialogue de bout en bout. Et enfin, un quatrième défi, auquel nous serons particulièrement attentifs, concerne le souci d’inscrire ce travail scientifique dans un objectif d’industrialisation, à long terme.

Contacts : Romain Laroche, Orange Labs (romain.laroche...at___orange.com) et Fabrice Lefevre, Université d'Avignon (fabrice.lefevre''''at***univ-avignon.fr).

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PhD proposal : Collaborative Annotation of multi-modal, multi-lingual and multimedia documents
Project objective
This PhD will be proposed and funded in the context of the CHIST-ERA / ANR Camomile Project (Collaborative Annotation of multi-MOdal, MultI-Lingual and multi-mEdia documents) Human activity is constantly generating large volumes of heterogeneous data, in particular via the Web. These data can be collected and explored to gain new insights in social sciences, linguistics, economics, behavioral studies as well as artificial intelligence and computer sciences. In this regard, 3M (multimodal, multimedia, multilingual) data could be seen as a paradigm of sharing an object of study, human data, between many scientific domains. But, to be really useful, these data should be annotated, and available in very large amounts. Annotated data is useful for computer sciences which process human data with statistical-based machine learning methods, but also for social sciences which are more and more using the large corpora available to support new insights, in a way which was not imaginable few years ago. However, annotating data is costly as it involves a large amount of manual work, and in this regard 3M data, for which we need to annotate different modalities with different levels of abstraction is especially costly. Current annotation frameworks involve some local manual annotation, with the help sometimes of some automatic tools. The Camomile Project aims at developing a first prototype of collaborative annotation framework on 3M data, in which the manual annotation will be done remotely on many sites, while the final annotation will be localized on the main site. Furthermore, with the same principle, some systems devoted to automatic processing of the modalities (speech, vision) present in the multimedia data will help the transcription, by producing automatic pre-annotations.
PHD proposal
This PhD is dedicated to the proposal of semi-supervised and unsupervised methods for the annotation of MMM data. Different scenarios of semi-supervised annotations will be experimented, for different type of videos. More precisely, we shall study: ? innovative retraining / adaptation strategies to update the different systems using new annotations. Since we consider a real scenario where new annotations are produced continuously, we will specially focus on iterative learning techniques where models are updated instead of being fully retrained; ? new data selection methods for active learning strategies ; we will focus on active learning for multimodal and heterogeneous systems which makes the data selection task much more difficult. As a case study we shall focus our work on developing technologies in order to answer to the questions ?who is seen??, ?who is speaking?? in videos. Depending on the type of video and the feedback from the supervision group, we may extend our work to the automatic annotation of objects (?what is seen??) or activities (?what is going on??).
Required Skills
The applicant must have a master degree in either computer science or computer engineering and have some knowledge in speech, image or video processing and in machine learning. We also search for a candidate with very good programming skills.
LIG GETALP and MRIM collaboration
PHD work is to be carried out between the GETALP and MRIM teams of LIG. LIG / GETALP website http://getalp.imag.fr LIG / MRIM website http://mrim.imag.fr
Contacts Laurent Besacier Laurent.Besacier@imag.fr Georges Quénot Georges.Quenot@imag.fr
Targeted starting date: fall 2012

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Faculty position in Phonetic Science and Speech Technology at Nanjing Normal University, China

(Urgent job announcement)

The Institute of Linguistic Science and Technology at Nanjing Normal University, China,

invites applications for a faculty position in the area of Phonetic Science and Speech

Technology. The position can be Lecturer, Associate Professor, or Professor, depending on

the qualifications and experience of the applicant.

Nanjing Normal University (NNU) is situated in Nanjing, a city in China not only

famous for its great history and culture but also pride for excellence in education and

academy. With Chinese-style buildings and garden-like environment, the Suiyuan Campus of

NNU is often entitled the “

Most Beautiful Campus in the Orient.”

Nanjing Normal University is among the top 5 universities of China in the area of

Linguistics. Placing strong emphasis on interdisciplinary research, the Institute of Linguistic

Science and Technology at NNU is unique in that it bridges the studies of theoretical and

applied linguistics, phonetics, cognitive sciences, neural sciences, and information

technologies. The phonetic laboratory is very well equipped, with sound-proof recording

studio, professional audio facilities, physiological instruments (e.g., WAVE system,

PowerLab, EGG, EPG, airflow and pressure module, and nasality sensor), EEG for ERP

studies, eye tracker, etc. The laboratory just organized an international symposium TAL 2012

www.TAL2012.org

very successfully at the end of May.

We welcome interested colleagues to join us. The research can cover any areas in

phonetic sciences and speech technologies, including but not limited to speech production,

speech perception, prosodic modeling, speech synthesis, automatic speech recognition and

understanding, spoken language acquisition, computer-aided language learning, and ERP

study for spoken languages. Outstanding research support will be offered.

Requirements:

* A PhD degree (or an expected one) in related disciplines (e.g., linguistics, psychology,

physics, applied mathematics, computer sciences, and electronic engineering);

* Good publication/patent record in phonetic sciences or speech technologies;

* Good oral and written communication skills in both Chinese and English;

* Team work spirit in a multidisciplinary group.

Interested candidates should submit a CV, a detailed list of publication, the copies of the best

two or three publications, and the contact information of two references to:

Prof. Wentao GU

Email:

wtgu@njnu.edu.cn; wentaogu@gmail.com

Phone: (office) +86-25-8359-8624, (mobile) +86-189-3687-2840

The position will keep open until it is filled. An earlier application is strongly recommended

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Offre de thèse financée au sein du laboratoire d'Informatique de l'Université du Maine (LIUM) dans le domaine de la correction orthographique automatique par méthodes de traduction statistique. Lieu : LIUM (Le Mans) Date : 1/10/2012 Durée : 3 ans Cette thèse s'inscrit dans le projet 'investissement d'avenir' PACTE, porté par l'entreprise Diadeis, et dont sont également partenaires l'équipe Alpage (INRIA et Paris 7), et les entreprises A2ia et Isako. PACTE a pour objectif l'amélioration de la qualité orthographique des textes issus de différentes méthodes de capture textuelle. L'accent est mis sur les sorties d'OCR (reconnaissance optique de caractères sur des textes imprimés scannés), mais concerne également des données obtenues par reconnaissance d'écriture manuscrite, par saisie manuelle, et par rédaction directe. Les techniques qui seront utilisées sont à la fois statistiques et hybrides, faisant usage d'outils et de ressources de linguistique computationnelle. Le domaine d'application principal du projet est celui de la numérisation du patrimoine écrit, dans un contexte multilingue. Une deuxième thèse démarrera à Alpage avec un accent sur l'utilisation des connaissances linguistiques pour aider à optimiser automatiquement ou quasi-automatiquement la qualité orthographique des textes. Dans le cadre du projet PACTE, une étroite collaboration aura lieu entre le LIUM, Alpage et la société Diadeis. Dans ce contexte, l'enjeu de la thèse au LIUM est d'analyser comment utiliser les techniques de traduction automatique statistique pour la correction d'erreur. En effet, on peut considérer la correction d'erreur comme un processus de passage d'une langue erronée vers une langue correcte. Une approche similaire a déjà été utilisée avec succès pour corriger les sorties des systèmes de traduction par règles, connue sous le nom 'statistical post-editing (SPE)'. Dans le cadre de cette thèse, il s'agit donc d'étudier comment une approche similaire peut être utilisée pour la correction orthographique. Un aspect important de cette thèse concerne le développement de modèles de langue efficaces, donnant de bons résultats avec une faible empreinte mémoire. Les modèles n-grammes à repli seront privilégiés, mais d'autres méthodes seront également explorées, notamment la modélisation dans l'espace continu (continuous space language models). Nous nous intéresserons aussi à l'intégration de connaissances morphosyntaxiques, en collaboration avec l'équipe Alpage. Les langues étudiées seront prioritairement le français et l'anglais, ainsi que l'allemand. Une application à l'espagnol, l'italien, voire d'autres langues européennes est possible. Profil recherché : - bonnes compétences en informatique (la maîtrise de Linux est indispensable, programmation en C++, utilisation de scripts, Perl, etc); - des connaissances en traduction automatique statistique sont souhaitées, ou, à défaut, en apprentissage automatique; - une expérience avec l'outil Moses est un plus. La thèse se déroulera au sein de l'équipe LST du LIUM. Le LIUM est connu au niveau international pour ses recherches dans le domaine de la traduction statistique, et nous avons de nombreuses collaborations avec des universités et entreprises en Europe et aux États-Unis. Contact : Holger Schwenk Holger.Schwenk@lium.univ-lemans.fr 

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PhD Studentship in Speaker Diarization at EURECOM

Department: Multimedia Communications
URL:        http://www.eurecom.fr/mm
Start date: 01/10/12
Duration:   Duration of the thesis

Description:

EURECOM’s Multimedia Communications Department invites applications for a PhD studentship in speaker diarization within its Speech and Audio Processing Research Group.  Speaker diarization is commonly referred to as the task of detecting ‘who spoke when’ in a multiple-speaker audio signal.  In its most general form it is performed without any prior
knowledge regarding the number of speakers or speaker identities. applications include speech recognition, speaker recognition (biometrics), multimedia indexing, content structuring and general multimedia document processing.

As with any modelling or statistical pattern recognition task, performance is affected by unwanted nuisance variation and by the amount of data available for any given class.  In the case of speaker diarization performance  can be affected by background noise, varying
linguistic content and differences in speaker floor times.   Our recent work has developed new normalization approaches to marginalise linguistic variation in order to increase speaker discrimination and improve speaker diarization performance.

This fully-funded PhD position aims to extend this work to further improve the robustness of speaker diarization in the case of linguistic  variation and varying speaker floor times.  The work will develop a novel phone adaptive training algorithm and investigate other, new normalisation and marginalization approaches to improve speaker modelling.  The position is an opportunity to make a contribution in an increasingly important field of speech and audio processing.  You will join a small, but dynamic research group which participates in a growing number of European, national and industrially-funded research projects and will have the opportunity for international travel and participation in competitive evaluations.


Requirements:

The successful candidate will have a Master’s degree in engineering, mathematics, computing or a related, relevant discipline.  You will be highly motivated to undertake challenging research, have strong expertise in mathematics and programming and have excellent communication skills.  Knowledge of C/C++ and Matlab is strongly desirable.  Good English language speaking and writing skills are essential.  Knowledge of French is a bonus.  Application  Screening of applications will begin immediately, and the search will continue until the position is filled. Applicants should send, to the address below (i) a one page statement of research interests and motivation, (ii) your CV and (iii) contact details for three referees.

Applications should be submitted by e-mail to secretariat@eurecom.fr

Contact:         Dr. Nicholas Evans
Postal address:  2229 route des Crêtes
                 B.P. 193
                 06904 Sophia Antipolis
                 France
Email:           evans@eurecom.fr
Web page:        http://www.eurecom.fr/mm
Phone number:    +33 4 93 00 81 14
Fax number:      +33 4 93 00 82 00

EURECOM is a graduate school and a Research Centre in Communication Systems, located in Sophia Antipolis technology park, in close proximity with a large number of research units of leading multinational corporations in the telecommunications, semiconductor and biotechnology sectors, as well as other outstanding research and teaching institutions. EURECOM was founded in 1991 by TELECOM ParisTech (Ecole Nationale Supérieure des Télécommunications) and EPFL (Swiss federal institute of Lausanne) in a consortium form, combining academic and industrial partners.

EURECOM deploys its expertise around three major fields: Networking and security, Multimedia Communications and Mobile Communications and has a strong international scope and strategy. EURECOM is particularly active in research in its areas of excellence while also training a large number of doctoral candidates. Its contractual research is recognized across Europe and contributes largely to its budget.

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Brain and Language Research Institute

               Post-docs call for application

                      http://www.blri.fr

>>> Deadline extension

The 'Brain and Language Research Institute' is a new 'Laboratoire d'Excellence' at Aix-Marseille Université. It federates 6 top-level labs in the domain of language studies, neurosciences, cognitive psychology, medicine and computer science. BLRI is now starting different interdisciplinary research programs investigating language production and perception and its cerebral correlates.

Applications are sought for one-year positions of Postdoctoral Research Fellow. Five research subjects are proposed (see detailed presentation available from http://www.blri.fr), all to be started fall 2012.

1. Introducing humour in vocal human-machine interaction systems
   Domains: linguistics and computer science
   Location: Aix-en-Provence (LPL) or Avignon (LIA)
   Contact: bea.priego-valverde@lpl-aix.fr; fabrice.lefevre@univ-­avignon.fr

2. Handwriting sonification: a tool for early diagnostics and treatment of micrographia in Parkinson Disease
   Domains: neurosciences and medicine
   Location: Marseille (LNC)
   Contact: jean-luc.velay@univ-amu.fr; serge.pinto­@lpl-aix.fr

3. Recording and processing the vocalizations of baboons
   Domains: psychology and linguistics
   Location: Marseille (LPC)
   Contact: arnaud.rey@univ-amu.fr; thierry.legou@lpl-aix.fr; joel.fagot@univ-amu.fr

4. Oculomotor and Visuo-attentional Prerequisites to Reading Development in Preschool Children in 4- and 5-year-olds
   Domains: psychology and linguistics
   Location: Aix-en-Provence (LPL)
   Contact: stephanie.ducrot@lpl-aix.fr; jonathan.grainger@univ-amu.fr

5. Phonetic alignment: Analysis and simulation
   Domains: computer science and linguistics
   Location: Aix-en-Provence (LPL) or Avignon (LIA)
   Contact: brigitte.bigi@lpl-aix.fr; georges.linares@univ-­avignon.fr


Applications
------------
Candidates should send a detailed CV plus a 3-pages research project corresponding to one of the subjects. Elaborating the project should be done in coordination with the project supervisors (see contacts for each project).

  . Position: 1 year
  . Salary: 1,950euros net per month (all taxes deduced, excepted income tax)
  . Deadline: September 15th
  . Starting date: not later than November 2012

Application should be sent to philippe.blache@blri.fr with copy to nadera.bureau@blri.fr.

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Post-doc position at LIMSI-CNRS Post-doc positionin the Spoken Language Processing     group    

A post-doc position will be proposed at LIMSI-CNRS, in the       context of the ANR-funded CHIST-ERA CAMOMILE Project       (Collaborative Annotation of multi-MOdal, MultI-Lingual and       multi-mEdia documents).
   

Description

    Human activity is constantly generating large volumes of     heterogeneous data, in particular via the Web. These data can be     collected and explored to gain new insights in social sciences,     linguistics, economics, behavioural studies as well as artificial     intelligence and computer sciences.
    In this regard, 3M (multimodal, multimedia, multilingual) data could     be seen as a paradigm of sharing an object of study, human data,     between many scientific domains. But, to be really useful, these     data should be annotated, and available in very large amounts.     Annotated data is useful for computer sciences which process human     data with statistical-based machine learning methods, but also for     social sciences which are more and more using the large corpora     available to support new insights, in a way which was not imaginable     few years ago. However, annotating data is costly as it involves a     large amount of manual work, and in this regard 3M data, for which     we need to annotate different modalities with different levels of     abstraction is especially costly. Current annotation framework     involves some local manual annotation, with the help sometimes of     some automatic tools (mainly pre-segmentation).
    The project aims at developing a first prototype of collaborative     annotation framework on 3M data, in which the manual annotation will     be done remotely on many sites, while the final annotation will be     localized on the main site. Furthermore, with the same principle,     some systems devoted to automatic processing of the modalities     (speech, vision) present in the multimedia data will help the     transcription, by producing automatic annotations. These automatic     annotations are done remotely in each expertise point, which will be     then combined locally to produce a meaningful help to the     annotators.
    In order to develop this new annotation concept, we will test it on     a practical case study: the problem of person annotation (who is     speaking?, who is seen?) in video, which needs collaboration of high     level automatic systems dealing with different media (video, speech,     audio tracks, OCR, ...). The quality of the annotated data will be     evaluated through the task of person retrieval.
    This new way to envision the annotation process, should lead to some     methodologies, tools, instruments and data that are useful for the     whole scientific community who have interest in 3M annotated data.
   

Skills

    A PhD in a field related to the project is required.
   

Contacts

     
• Claude Barras (Claude.Barras@limsi.fr)
     
• Gilles Adda (Gilles.Adda@limsi.fr)
   

Agenda

     
• Starting date:  Fall 2012
     
• Duration of the project: 36 months
   

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Speech Recognition/Machine Learning Engineers

Cantab Research was founded in 2006 and exists to supply automatic speech recognition products to a wide variety of customers.   It has previously
supplied SpinVox (now Nuance) to create a voicemail to text system that handles over a million calls a day.  It currently supplies speech recognition to a medical transcription company and to several other companies with high potential novel applications.

We are expanding and seeks a graduate/post-graduate with the following skills:

* Good degree in a numerate discipline (ideally MSc/MPhil/PhD)
* Excellent analytical ability, ability to conduct research experiments as well as develop code
* Practical experience of machine learning on large datasets
* C/C++, perl/python, matlab/octave, Linux
* Previous experience in speech recognition or large scale web information mining an advantage
* Keen to learn automatic speech recognition operation and applications

This role offers an interesting combination of the application of research, experimentation, and product development. The post involves extending Cantab's existing speech recognition software and applying it to new tasks. You will be joining a small but rapidly expanding team and enjoy the challenges and rewards of a startup culture.

Location: Cambridge, UK.  Full/part time and employment/contracting may be negotiated depending on experience.

Contact: Dr Tony Robinson (tonyr@cantabResearch.com)

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ASSOCIATE RESEARCH SCIENTIST POSITION

Speech

Educational Testing Service

Headquartered in Princeton, NJ, ETS is the world’s premier educational measurement institution and a leader in

educational research. As a nonprofit corporation and an innovator in developing tests for clients in education,

government, and business we are dedicated to advancing educational excellence for the communities we serve.

ETSs Research & Development division has an opening for a researcher in the NLP & Speech Group. The Group

currently consists of about 15 Ph.D. level research scientists in areas related to NLP and speech. Its main focus is on

foundational research as well as on development of new capabilities to automatically score written and spoken test

responses in a wide range of ETS test programs including TOEFL(R)iBT and GRE(R).

PRIMARY RESPONSIBILITIES



Provide scientific and technical skills in conceptualizing, designing, obtaining support for, conducting,

managing, and disseminating results of research projects in the field of speech technology, or portions of largescale

research studies or programs in the same field.



Develop and/or modify speech theories to conceptualize and implement new capabilities in automated scoring

and speech-based analysis and evaluation systems which are used to improve assessments, learning tools and test

development practices.



Apply scientific, technical and software engineering skills in designing and conducting research studies and

capability development in support of educational products and services.



Develop and oversee the conduct of selected portions of research proposals and project budgets.



Design and conduct complex scientific studies functioning as an expert in major facets of the projects.



Assist in the conduct of research projects by accomplishing directed tasks according to schedule and within

budget.



Participate in dissemination activities through the publications of research papers, progress and technical reports,

the presentation of seminars or other appropriate communication vehicles.



Develop professional relationships as a representative, consultant or advisor to external advisory and policy

boards and councils, research organizations, educational institutions and educators.

REQUIREMENTS

A Ph.D. in Language Technologies, Natural Language Processing, Computer Science or Electrical Engineering, with

strong emphasis on speech technology and preferably some education in linguistics is required.

Evidence of substantive research experience and/or experience in developing and deploying speech capabilities is

required. Demonstrable contributions to new and/or modified theories of speech processing and their implementation in

automated systems. Demonstrable expertise in the application of speech recognition systems and fluency in at least one

major programming language (e.g., Java, Perl, C/C++, Python).

HOW TO APPLY

Please apply online at

www.ets.org/careers – position #124337. ETS offers competitive salaries, outstanding benefits, a

stimulating work environment, and attractive growth potential. ETS is an Equal Opportunity, Affirmative Action Employer.

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Researcher in Speech Technology
Vicomtech-IK4, an international applied research centre in Visual Interaction and Communication Technologies located in San Sebastian (Spain) is looking for a Researcher in Speech Technology. We are looking for someone who combines experience in speech processing and software engineering, with research interests in multilingual Speech Recognition, Speech Synthesis, Voice Transformation and Conversion, and also motivated by the transfer of this knowledge into real world applications by building advanced research prototypes developed to solve real needs. The selected candidate will have an important role in the Human Speech and Language Technologies Department, including advanced research, project management responsibilities and technical leadership in high profile projects.
Requirements: - Masters/Ph.D. degree (or equivalent) in Speech Technology or related field - Experience in Speech Recognition, Speech Synthesis, Voice Transformation or Voice Conversion is desired. - Good written and spoken Spanish and English. Any other languages will be valued.
If you are: - An accomplished researcher with management abilities and interests. - A team player with an ambitious and creative personality.
We offer: - A multi-cultural research environment. - A multidisciplinary research team. - A group active in the international Human Speech and Language Technologies research field. - The opportunity to develop management as well as research skills.
To apply, please submit your CV and a cover letter describing your experience and interest in the position to:
Dr.-Ing. Jorge Posada (Associate Director) E-mail: jposada@vicomtech.org Telephone: +34 943 30 92 30 http://www.vicomtech.org
Deadline for submission: Open until filled

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    Job title: Assistant, Associate, or Full Professor
    Institution: Oregon Health & Science University, Portland, Oregon
    Department: Center for Spoken Language Understanding
           

The Institute on Development & Disability/Center for Spoken Language Understanding invites applications at all ranks for a faculty position in Natural Language Processing, to include technologies for analysis of speech, language, or both. Special interest in applications to behavioral  manifestations of neurological disorders is essential.

The primary interest is to extend our existing program in developing behavioral technologies that allow early detection and remediation of a wide range of neurological disorders, in  including Autism and Parkinson’s.

The Institute on Development & Disability/ Center for Spoken Language Understanding is at the forefront of this new, exciting area of research. The faculty member will be expected to teach courses supporting the research program and appropriate background areas such Machine Learning and Computational Linguistics. We seek a researcher with a well-developed program in Natural Language Processing, to collaborate with the CSLU team and with clinicians throughout OHSU. The appointee will be expected to maintain an independent, extramurally funded research program.

Requirements:          

•  Ph.D.         
     
• Experience with Computational Linguistics, Machine Learning and Natural Language Processing.         
   

Please contact: Jan van Santen, vansantj@ohsu.edu

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Postdoctoral research position: Automatic identifcation of South African languages  U.Stellenbosch South Africa

A postdoc position focussing on automatic language identification for the eleven official languages of South Africa is available in the Digital Signal Processing Group of the Department of Electrical and Electronic Engineering at the  University of Stellenbosch. Specific project objectives include the developemt of a research system, the production of associated publishable outputs, and the development of a web-based demonstrator. The position is part of a bilateral project grant between the Netherlands and South Africa.

Applicants should hold a PhD in the field of Electronic/Electrical Engineering, Information Engineering, or Computer Science, or other relevant disciplines. Suitable candidates must have strong computer programming, analytical and mathematical skills, and be familiar with a Linux computing environment. Candidates must also be self-motivated and able to work independently. Finally, candidates must have excellent English writing skills and have an explicit interest in scientific research and publication.

The position will be available for one year, with a possible extension to a second year, depending on progress and available funds. The proposed starting date is not later than 15 January 2013.

Applications should include a covering letter, curriculum vitae, list of publications, research projects, conference participation and details of three contactable referees and should be sent as soon as possible to: Prof Thomas Niesler, Department of Electrical and Electronic Engineering, University of Stellenbosch, Private Bag X1, Matieland 7602. Applications can also be sent by email to: trn@sun.ac.za. The successful applicant will be subject to University policies and procedures.

Interested applicants are welcome to contact me at the above e-mail address for further information regarding the project.

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Dolby’s technology group in Beijing looking for software engineers!

Job Title:                                Embedded SW-Engineer (Audio)                    

Summary Description

This position is in the Engineering organization of Dolby Laboratories and located in Beijing, China.  The main focus of this position is to implement Dolby’s audio technologies, including creating the reference code, porting to the embedded platforms such as ARM cores or TI DSPs. The position requires a deep knowledge in signal processing algorithms, fixed-pointed algorithms and optimization technical including the use of assembly language, as well as an excellent understanding of DSP architectures.

We are looking for a highly motivated individual for whom working with different tool chains under various operating systems in hardware close environments is fun and not a challenge.

The candidate will be part of the engineering team in Beijing and work closely together with other Dolby engineering entities in the US, Germany and Australia. We expect the candidate to build-up expert knowledge on highly efficient Dolby audio engines. Working in an international environment requires excellent verbal and written English communication skills.

Essential Job Functions:

• Implement Dolby’s audio signal processing algorithms for both floating-point and fixed-point platforms.
• Port and optimize audio signal processing algorithms to embedded fixed-point devices in a timely manner based on assigned portions of projects and existing architectures.
• Write code, following best practices in embedded SW-engineering, leading to well documented, reliable and easy to maintain SW-components.
• Validate and maintain correct behavior of SW-components via automated unit tests.
• Serve as a team member with responsibility for maintaining embedded sub-components.
• Work together with the development teams in the US, Germany and Australia to improve Dolby’s products.
• Be a local resource on embedded Dolby audio technologies by combining an understanding of algorithmic behavior with a good knowledge of processor architectures.
• Seek to increase knowledge by attending internal and external trainings and conferences.
• Contribute ideas for new technologies, tools, or methodologies.
• Share relevant information within the project team.
• Provide technical assistance to non-engineering teams such as Research.
• Promote a positive work environment.
• Practice sensitivity in working with others.
• Accept input from other team members.

Teamwork & Communications

Education, Skills, Abilities, and Experience:

• M.S. in Electrical Engineering, Computer Science or comparable field is required.
• Professional experience in porting and optimization of signal processing algorithms to embedded platforms is a strong plus.
• C/C++ programming skills under Windows and Linux environments is required.
• Good understanding of development/debugging on embedded simulators/hardware devices is required.
• Excellent English spoken and written communication skills are required.
• Ability to meet timelines is required.
• Good understanding of at least one assembly language is a strong plus.
• Knowledge of scripting languages such as Perl or Python is a plus.
• Familiar with embedded real time operating systems is a plus.

Please send your CV to cv.engineerin.beijing@dolby.com

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Dans le cadre du  LABEX EFL 'Empirical foundations of Linguistics' (http://www.labex-efl.org/), un projet d’une durée  de 10 ans initié en 2011, nous proposons un projet post-doctoral de 6 mois à  temps complet dans l’opération de recherche « Assessing phonetic and  phonological complexity in motoric speech 
disorders ».  

Le  candidat  participera à une recherche sur la complexité phonétique et phonologique dans le contexte des troubles moteurs de la parole.   

Il travaillera sous la responsabilité de Cécile Fougeron et en collaboration avec le Dc Lise  Crevier-Buchman au Laboratoire de Phonétique et Phonologie, à Paris .

Le  candidat sera titulaire d’un doctorat en phonétique ou en Speech and Hearing  Sciences, avec  une expérience en phonétique clinique. Une formation en  phonétique acoustique  et dans l’expérimentation avec des patients est requise.  Une expérience en investigation physiologique  avec l’ultrason sera un plus.

Les dossiers de candidatures contiendront les documents suivants et seront  envoyés à  martine.adda-decker_at_univ-paris3.fr avant le 21/11/2012 :     

• une  lettre de motivation
     
• un curriculum vitae à jour avec une liste des publications
     
• l’adresse  du site Internet où l’on peut accéder aux publications
     
• les  noms et adresses électroniques de deux personnes pouvant fournir des références
   

Pour plus d'informations, voir  http://www.labex-efl.org/?q=fr/node/136
       

 Contact: Cécile Fougeron (LPP-P3)

Adresse  du responsable: cecile.fougeron@univ-paris3.fr

Université: Université  Paris 3

Niveau: chercheur postdoctorant

Durée: 06 mois

Salaire: 12 000€ net / 6 mois

Spécialités: phonétique clinique, acoustique, échographie linguale, dysarthrie

Date  limite de candidature: 21 novembre 2012

Adresse pour la candidature: martine.adda-decker_at_univ-paris3.fr

Référence  de candidature: EFL-PPC5

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Job Openings: Large-Scale Audio Indexing Researchers/Engineers: 2 W/M  positions at IRCAM

Starting :  January,  2013

Duration : 18 months

Position  description A

The hired Researcher will  be in charge of the research  and the development of scalable technologies for supervised learning (i.e. scaling GMM, PCA  or SVM algorithms) to be applicable to millions of annotated data.

He/she will then be in  charge of the application of  the developed technologies for the training of large-scale music genre and  music mood models and their application to large-scale music  catalogues.

Required  profile for A:

• High  skill in audio indexing and data mining  
• Previous  experience into scalable machine-learning models
• High-skill in Matlab programming, skills in C/C++ programming
• Skill  in audio signal processing (spectral analysis, audio-feature extraction, parameter estimation)
• Good  knowledge of Linux, Windows, MacOS  environments
• High productivity, methodical works, excellent programming style.

Position  description B

The hired  Engineer/Researcher will be in charge of the  development of the framework for scalable storage, management         and access of   distributed data (audio and meta-data). He/she will be also in charge of the  development of scalable search algorithms.

Required profile for B:

• High skill in database management systems
• High  skill in indexing technologies (hash-table, m-trees, …)
• Good knowledge of Linux, Windows, MacOS  environments
•  High productivity, methodical  works, excellent programming style.

The   hired Engineers/Researchers A and B will also collaborate with the development team and  participate in the project activities (evaluation of technologies, meetings, specifications, reports).

Introduction to IRCAM

IRCAM is a leading  non-profit organization associated to Centre Pompidou, dedicated to music production, R&D and education in sound and music technologies. It hosts composers, researchers and students from many countries cooperating in contemporary music production, scientific and applied research. The main topics addressed in its R&D department include  acoustics, audio signal processing, computer music, interaction technologies, musicology. Ircam is located in the centre of Paris near the Centre Pompidou at 1, Place Igor Stravinsky 75004 Paris.

Salary

According to background and  experience

Applications

Please send an application letter together with your resume and any suitable information addressing the above issues         preferably by email to: peeters_a_t_ircam dot fr with cc to vinet_a_t_ircam dot fr,  roebel_at_ircam_dot_fr

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Title: Research Scientist

Opening in our Zurich (Switzerland) office. (Working language: English)

Yandex (company.yandex.com) is the leading search engine in Russia with an extensive set of added value services.

We are seeking an experienced and motivated person to join our team developing basic technology and applications.
The ideal candidate will be able to take responsibility for developing and implementing advanced modules resulting in improved speech recognition performance.

Responsibilities:
-Ability to independently develop new and improved algorithms for speech recognition
-Analyze speech recognition performance and implement solutions to provide optimum accuracy
-Use, improve and create research tools to create, update and optimize speech recognition systems for multiple domains
-Work with the team to design future products


Required:
-Higher degree in speech science, machine learning, or related field
-Experience developing ASR applications - training, tuning, and optimization
-Software development experience
-Programming experience in C/C++
-Excellent communication skills in English
-Willing to relocate to Switzerland


Desirable:
-Experience in advanced aspects of speech recognition (e.g. noise robust ASR, adaptation, discriminative training, decoding methods, etc.)
-Knowledge of scripting languages (especially python)
-Experience in commercial projects in the area of speech recognition and other speech technologies.
-Experience with applications for GPU is a plus
-Background in natural language processing, machine learning and/or computational linguistics is a plus


Interested candidates, please send application to:
barbara@yandex-team.ru

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The newly established IBM Language and Knowledge Center, Trento , Italy has a postdoc position in the following area:

-Natural Language Dialog

The postdoc scholar will be part of a Êresearch project aiming at designing machines that interact with humans and support them in complex and large scale knowledge and decision making tasks. The team includes researchers Êfrom IBM and the TrentoRise Human Language Technology Center founded by the University of Trento and FBK. Candidates with strong research background in at least one of the following:

- Conversational Dialogue Systems - Statistical models of Dialogue - Natural Language Understanding - Machine Learning - Question Answering Systems

are invited to apply.

The official postdoc position application site:

http://www.trentorise.eu/call-for-participation/bando-di-selezione-l-call-po sitions

If you would like to enquiry about the position send an email along with the CV addressed to

Prof. Giuseppe Riccardi sisl-jobs@disi.unitn.it Subject: Postdoc Position at IBM, Trento

Deadline: February 5, 2013

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PhD Position: The influence of robots on the development of language

Job Posting

Project description

The ‘Wordovators’ project is a three-year project funded by the John Templeton Foundation. The project will conduct large-scale experiments in the form of computerized word games. These games will be designed to probe the factors underpinning word creation and creativity, and how these develop through the life-span. One strand of the project will probe particular issues surrounding interactions between people and humanoid Robots. How are new words created and adopted in contexts involving such interactions? This PhD position is for a highly motivated student to join the project team, and conduct work that explores the ways that robots might shape human languages. These studies will analyze the factors and processes that might contribute to the influence of robots on the vocabularies of English and of artificial languages in imaginary worlds.

This project is a collaboration between University of Canterbury, New Zealand and Northwestern University, USA. The PhD candidate will enroll for a PhD degree in the HIT Lab NZ at University of Canterbury, and will be primarily supervised by Dr Christoph Bartneck. (the HIT Lab NZ). Other associated faculty are Professor Jen Hay (NZILBB), Janet Pierrehumbert (Northwestern University / Adjunct Professor NZILBB), and Professor Stephanie Stokes (NZILBB). The PhD student will be encouraged to regularly visit Northwestern University.

Your skills

You should have an interest in human language and have a strong background in robotics or computer science.

The HIT Lab NZ

The Human Interface Technology Laboratory New Zealand (HIT Lab NZ) is world leading research institutions developing and commercializing technology that improves human computer interaction. The HIT Lab NZ has over 50 staff and students and has extensive experience in Human Computer Interaction and Science & Technology Studies. The HIT Lab NZ is located at the University of Canterbury in Christchurch, New Zealand. The University of Canterbury has the top Engineering School in New Zealand, including a highly ranked Department of Computer Science. For more information about the HIT Lab NZ see http://www.hitlabnz.org/.

NZILBB

The HIT Lab NZ at the University of Canterbury is affiliated with the New Zealand Institute of Language, Brain and Behaviour (NZILBB). NZILBB is a multi-disciplinary centre dedicated to the study of human language. The researchers come from a wide range of disciplines, forging connections across linguistics, speech production and perception, language acquisition, language disorders, social cognition, memory, brain imaging, cognitive science, bilingual education, and interface technologies. More information is available at: http://www.nzilbb.canterbury.ac.nz/.

Christchurch

Christchurch is the second largest city in New Zealand and offers an exciting and easy lifestyle for students. It is the most affordable major city to live in. It is easy to get around whether you are biking, walking, driving or using the excellent public transport system. Christchurch also offers outstanding opportunities for outdoor activities, and is close to both surf beaches and ski-fields.

Appointment and Scholarship Support

The PhD scholarship is full time for a duration of three years with an annual scholarship of $25,000 NZD. The scholarship will also cover the tuition fees.

The research in this project must be concluded with writing a PhD thesis within the Human Interface Technology PhD program of the HIT Lab NZ. For more information about the PhD program in Human Interface Technology, please see http://www.hitlabnz.org/index.php/education/phd-program.

Further Information and Application

Further information can be obtained by contacting Christoph Bartneck (christoph.bartneck@canterbury.ac.nz). Information about the HIT Lab NZ is available at: http://www.hitlabnz.org. Please upload your application as one PDF file at http://www.hitlabnz.org/index.php/jobs/job/37/ Your application must include a letter explaining your specific interest in the project, an extensive curriculum vitae, your academic records, and a list of two references. Applications will be accepted until November 15th, 2012 or until position is filled.

International applicants will be required to arrange for their NZ student visa after an offer of a place. Please check http://www.immigration.govt.nz for information about what type of visa might be most suitable and the process of acquiring it. The university has various types of accommodation available on campus. Please check http://www.canterbury.ac.nz/accom/ for information about the options and prices. International students should also consult the International Student website at http://www.canterbury.ac.nz/international/ to learn about the cost of living, fees, and insurances.

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The Center for Language and Speech Processing at the Johns Hopkins University in Baltimore, USA,
http://www.clsp.jhu.edu
seeks applicants for a tenure-track or tenured faculty member in speech and language processing. Rank will be dependent on the experience and accomplishments of the candidate.

Applicants must have a Ph.D. in a relevant discipline and will be expected to establish a strong, independent, multidisciplinary, internationally recognized research program. Commitment to quality teaching at the undergraduate and graduate levels is required. We are committed to building a diverse educational environment; women and minorities are especially encouraged to apply.

Prospective candidates should email rscully@jhu.edu for further information.

>>>>>>>>>>>>>>

Hynek Hermansky
Julian S. Smith Professor in Electrical Engineering
Director
Center for Language and Speech Processing
The Johns Hopkins University
3400 N. Charles Street, Hackerman Hall
Baltimore, Maryland 21218
410-516-6766
hynek@jhu.edu

Admin. support:
Ruth Scally
410-516-4237
rscally1@jhu.edu

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INRIA-Internship for Master2 Students

Title:

Speech analysis for Parkinson's disease detection

Description:

Parkinson's disease (PD) is one of the most common neurodegenerative disorders and its clinical

diagnosis, particularly early one, is still a difficult task. Recent research has shown that the speech

signal may be useful for discriminating people with PD from healthy ones, based on clinical evidence

which suggests that the former typically exhibit some form of vocal disorder. In fact, vocal disorder

may be amongst the earliest PD symptoms, detectable up to five years prior to clinical diagnosis. The

range of symptoms present in speech includes reduced loudness, increased vocal tremor, and

breathiness (noise). Vocal impairment relevant to PD is described as dysphonia (inability to produce

normal vocal sounds) and dysarthria (difficulty in pronouncing words). The use of sustained vowels,

where the speaker is requested to sustain phonation for as long as possible, attempting to maintain

steady frequency and amplitude at a comfortable level, is commonplace in clinical practice. Research

has shown that the sustained vowel “aaaaa” is sufficient for many voice assessment applications,

including PD status prediction.

The first goal of this internship is to implement/improve some state-of-the-art algorithms for dysphonia

measures and use them within an appropriate classifier (like SVM) to discriminate between disordered

and healthy voices. These measures are based on linear and nonlinear speech analysis and are well

documented in [1]. The experiments will be carried on on the well established Kay Elemetrics

Disordered Voice Database (

http://www.kayelemetrics.com/).

The second goal is to try to develop new dysphonia measures based on novel nonlinear speech

analysis algorithms recently developed in the GeoStat team [2]. These algorithms have indeed shown

significant improvements w.r.t. state-of-the-art techniques in many applications including speech

segmentation, glottal inverse filtering and sparse modeling.

The work of this internship will be conducted in collaboration with Dr. Max Little (MediaLab of MIT

and Imperial College of London) and should lead to a PhD fellowship proposition.

References:

[1] A. Tsanas,

M.A. Little, P.E. McSharry, J. Spielman, L.O. Ramig. Novel speech signal processing

algorithms for high-accuracy classification of Parkinson’s disease. IEEE Transactions on Biomedical

Engineering,

59(5):1264-1271. 2012

[2] PhD thesis of Vahid Khanagha. INRIA Bordeaux-Sud Ouest. January 2013.

Prerequisites:

Good level in mathematics and signal/speech processing is necessary, as well as Matlab

and C/C++ programing. Knowledge in machine learning would be an advantage.

Supervisor:

Khalid Daoudi (khalid.daoudi@inria.fr), GeoStat team (http://geostat.bordeaux.inria.fr).

Location:

INRIA- Bordeaux Sud Ouest (http://www.inria.fr/bordeaux). Bordeaux, France.

Starting date:

Fev/Mars 2012.

Duration

: 6 months

Salary:

1200 euros / month

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Doctoral and Post-doctoral Positions in Signal Processing for Hearing Instruments

Position Description

The ITN ICanHear, starting on 1 January 2013, will provide cutting-edge research projects for 12 doctoral and 5 post-doctoral research fellows in digital signal processing for hearing instruments. ICanHear aims to develop models based on emerging knowledge about higher-level processing within the auditory pathway and exploit that knowledge to develop creative solutions that will improve the performance of hearing instruments.

Attractive grants and a wide variety of international training activities, including collaborations with ICanHear Associated Partners in the U.K., Switzerland, Belgium, U.S.A., and Canada, will be made available to successful candidates, who will stay in the network for a period of 12 to 36 months.

Research and training positions will be available in the following ICanHear labs:

• Institute of Communication Acoustics, Ruhr-Universität Bochum (DE)

• Experimental Oto-rhino-laryngology (ExpORL), Katholieke Universiteit Leuven (BE)

• Institute of Sound and Vibration Research, University of Southampton (UK)

• Hearing Systems Group, Denmark Technical University, Lyngby (DK)

• Laboratory for Experimental Audiology, University Hospital Zurich (CH)

• Signal Processing Group, Siemens Hearing Instruments (DE)

• Cochlear Research and Development, Cochlear Ltd., Mechelen (BE)

Requirements for Candidates and Application procedure:

Early-stage (doctoral) Research Fellows have less than four years experience in research after obtaining a Masters degree in engineering, computer science, or similar.

Experienced (post-doctoral) Researcher Fellows are already in possession of a doctoral degree or have at least 4 years but less than 5 years of research experience in engineering and/or hearing research.

In order to ensure transnational mobility candidates may have resided no more than 12 months (during the last 3 years) in the country of the host institution they wish to apply to. For all positions excellent English language skills are required.

To apply please send in the following documents via e-mail to the ICanHear coordination office (icanhear@rub.de): CV, certified copies of all relevant diplomas and transcripts, two letters of recommendation, proof of proficiency in English, letter of motivation (research interest, reasons for applying to programme and host). For further information on research projects available, application details and eligibility please visit the ICanHear web-site (http://www.icanhear-itn.eu) or contact the project coordinator Rainer Martin (rainer.martin@rub.de).

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