ISCA - International Speech
Communication Association


ISCApad Archive  »  2014  »  ISCApad #189  »  Jobs

ISCApad #189

Saturday, March 15, 2014 by Chris Wellekens

6 Jobs
6-1(2013-10-01) Post doc scholar: Computational Linguistics/ASR Univ. N.Arizona, Flagstaff, AZ, USA

 

 

 Post-Doctoral Scholar: Computational Linguistics/Automated Speech Recognition

 

Description:

 

Applications are invited for a full-time postdoctoral position in computational linguistics/automated speech recognition through the Department of English at Northern Arizona University, Flagstaff. This project will focus on extracting intonation features applicable to automated scoring systems and develop algorithms to measure the degree of nativeness of accented speech.This new position has guaranteed funding for two calendar years commencing on the date of appointment, with continued appointment upon availability of funds.

Minimum Education: 

Ph.D. in Natural Language Processing, Electrical and Computer Engineering, or Computational Linguistics by the time of appointment, with an emphasis on speech technology. 

Required Qualifications

 

  • Background in NLP and signal processing

  • Background in machine learning (e.g., HMM, GMM, SVM)

  • Interest or experience in speech feature extraction/analysis (e.g., pitch, LPC, MFCC, formants, jitter & shimmer)

  • Computer program skills (e.g., C/C++, MATLAB, python)

  • Knowledge about speech processing and implementation in automated systems

  • Expertise in the application of speech recognition systems and fluency

 

Preferred Qualifications

  • Knowledge of linguistics

  • Experience with collaborative interdisciplinary research

  • A record of software deliverables and publication

 

To Apply:

 

Candidates should email letter of application, CV, and names & contact information for 3 references to Dr. Okim Kang (okim.kang@nau.edu). For the complete job announcements, visit (Job ID#600539):https://hr.peoplesoft.nau.edu/psp/ph90prta/EMPLOYEE/HCM/c/HRS_HRAM.HRS_CE.GBL?Page=HRS_CE_HM_PRE&Action=A&SiteId=1

 

Deadlines: Open until further notice; review of applications will start on November 5, 2013.

 

About NAU and Flagstaff:

Northern Arizona University (NAU) is a 25,000-student institution with its main campus is in Flagstaff, a four-season community of about 62,000 at the base of the majestic San Francisco Peaks. NAU is an Equal Opportunity/Affirmative Action Employer, and applications from minority and women candidates are especially welcome. The position is open to non-US citizens or non-permanent residents.

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6-2(2013-10-01) Tenure-track Faculty Position in Human-Computer Interaction Department of Computer Science, Virginia Tech VA, USA
Tenure-track Faculty Position in Human-Computer Interaction Department of Computer Science, Virginia Tech The Department of Computer Science at Virginia Tech (www.cs.vt.edu) invites applications for a 
full-time tenure-track position, at the rank of Assistant Professor, from candidates with expertise
 in human-computer interaction (HCI). The department is especially interested in sub-areas of 
HCI involving human interaction with big data or advanced technologies, such as large-scale data 
visualization and human-robot interaction, but candidates from all areas of HCI are encouraged 
to apply. Candidates should have a PhD in Computer Science or related discipline at the time of 
appointment; a strong record of scholarship in human-computer interaction and interdisciplinary 
areas; demonstrated ability to contribute to teaching at the undergraduate and graduate levels in 
HCI and related subjects; sensitivity to issues of diversity in the campus community; and the 
skills to establish and grow a multidisciplinary research group. Selected candidates are expected 
to travel occasionally to attend professional conferences/meetings. VT CS faculty have been involved in HCI research since the early days of the field, and lead the 
interdisciplinary Center for Human-Computer Interaction (hci.vt.edu), a university-wide effort 
that brings together faculty with strengths in multi-sensory interactive communication, ecologies 
of displays and devices, social/collaborative computing, and human aspects of 
data/information/knowledge. Within CS, there are rich opportunities for collaboration in data 
mining/machine learning, parallel and distributed computing, computational biology and 
bioinformatics, information retrieval, software engineering, cyber security, cyber arts, and CS 
education. Beyond the department, HCI faculty members collaborate with researchers in design 
and the arts (the Institute for Creativity, Arts, and Technology), in engineering and science (the 
Institute for Critical Technology and Applied Science), and in education, business, and liberal arts.
 The Department of Computer Science has 36 research oriented tenure-track faculty and 11 
research faculty. There are a total 12 NSF/DOE CAREER award winners in the department. 
Research expenditures during FY2013 were $11.7 million; total research funding at the beginning
 of FY2014 was $34 million. BS, MS, and PhD degrees are offered, with an enrollment of over 
550 undergraduate majors (12% women) and over 200 PhD/MS students. In 2010, CS@VT was
 ranked 5th in the country in recruiting quality of CS undergrads by the Wall Street Journal. The 
department is in the College of Engineering, whose undergraduate program was ranked 6th and 
graduate program was ranked 12th among public engineering schools in 2013 by US News and 
World Report. Other research centers associated with the department include the new
 interdisciplinary Discovery Analytics Center (dac.cs.vt.edu), which focuses on ‘big data’ problems
 in areas of national interest including intelligence analysis, sustainability and health informatics,
 and the Center for High End Computing Systemswww.checs.eng.vt.edu known for its expertise
 in high performance computing, including energy efficient and/or heterogeneous supercomputers. 
Recently, we designed and acquired HokieSpeed, a CPU/GPU 200+ node machine for use by 
computational scientists and engineers across campus through a $2M NSF MRI grant. HokieSpeed 
ranked 11th in the world on the Green 500 List in November 2011. CS faculty also participate in 
the Ted and Karyn Hume Center for National Security and Technology (www.hume.ictas.vt.edu), 
a cyber security center. Virginia Tech is a comprehensive research university with over 31,000 
students. 
This hire is for the main campus in Blacksburg, consistently ranked among the country’s best 
places to live www.hr.vt.edu/great-place-to-work/culture-community. Salary for suitably qualified 
applicants is competitive and commensurate with experience. 
Selected candidates must pass a criminal background check prior to employment. Applications must
 be submitted online to https://jobs.vt.edu for posting #117036. We welcome applications from 
women and minorities. Applicant screening will begin December 15, 2013 and continue until the 
position is filled. Early applications are encouraged. Inquiries should be directed to 
Dr. Doug Bowman, HCI Search Committee Chair, bowman@vt.edu. Virginia Tech is an equal 
opportunity/affirmative action institution. 
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6-3(2013-10-02) Voice recognition engineer at Sony, San Francisco Area (Foster City), CA, USA

 

Primary Location: United States-California-San Francisco Bay Area - Foster City

Description:

Sony PlayStation

® US R&D is looking for an individual who will contribute to voice recognition system and technologies for current and future Sony PlayStation® platforms. The Senior Software Engineer (voice recognition) for the R&D team will contribute to one or more of the following fields:

Automatic generation of pronunciation and voice recognition grammar for 10+ languages.

Language modeling (LM) for large vocabulary continuous speech recognition (LVCSR)

Robust automatic speech recognition (ASR) technologies to various kinds of distortions and variations such as channel and environment distortions, emotional speech, variety of speaking rate and speaking style for multiple languages.

Acoustic model training and adaptation.

Keyword spotting and voice search technologies are plus.

Speech synthesis experience is a plus.

Improve runtime voice recognition and sample voice applications on PS3 and PlayStation future platforms for many languages.


Qualifications:

At least 5 years’ experience and solid understanding in voice recognition and digital signal processing technologies.

At least 5 years’ experience and strong skills in scripting languages and C/C++ programming.

Experience of multi-lingual speech and language processing is preferred.

Good written and oral communication skills.

Bachelor's degree in Computer Science/Electrical Engineering, related engineering discipline, or equivalent

Master's degree or PhD in Computer Science/Electrical Engineering or equivalent is preferred

Fresh yet outstanding PhD graduates are also encouraged to apply.

To apply send email to 'AAGroup@playstation.sony.com'

Sony Computer Entertainment America (SCEA) is home to the PlayStation® family of products, including the PlayStation®3 (PS3™, PlayStation® Vita (PS Vita), PlayStation® Mobile and PlayStation®Network. Founded in 1994, SCEA has grown into a leading global computer entertainment brand and continues to redefine interactive consumer entertainment. Since the original PlayStation® first revolutionized the world of gaming, SCEA has repeatedly set the benchmark for innovation in home and portable entertainment through amazing gameplay experiences that inspire people across the world. Based in Foster City, CA, SCEA serves as headquarters for all North American operations and employs over 2,104 people in offices located in Foster City, CA, San Diego, CA, Santa Monica, CA and Bend, OR.

It is SCEA's policy to provide equal employment opportunity for all applicants and employees. SCEA does not unlawfully discriminate on the basis of race, color, religion, gender, gender identity, marital status, age, disability, veteran status, sexual orientation, national origin, or any other category protected by applicable federal and state law. SCEA also makes reasonable accommodations for disabled applicants and employees.

 

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6-4(2013-10-08) Thesis proposal at LORIA Nancy F

Dans le cadre du projet ANR ContNomina (2013-2016), nous proposons  une thèse  (36 mois), financée par ce projet sur le sujet suivant : 
Exploitation du contexte pour la reconnaissance de noms propres dans les documents diachroniques 

Début : novembre-décembre 2013 Lieu : Nancy LORIA/INRIA et LIA Avignon

Résumé : L'adaptation des systèmes de reconnaissance de la parole vise à  rapprocher les modèles des conditions d'utilisations présumées ou  observées : au locuteur, à l'environnement acoustique, au domaine, etc. Tandis que les adaptations acoustiques peuvent être réalisées  de façon supervisée ou non-supervisées, sur des collections de données de tailles variables, les adaptations du modèle de langage  requièrent des grandes quantités de données et sont appliquées dans la phase de conception du système.

Dans cette thèse, nous nous concentrerons sur la contextualisation des systèmes, opération qui consiste à réaliser une adaptation  rapide et non supervisée des ressources linguistiques (lexique et modèle de langage) d'un reconnaisseur de parole. On traitera en  particulier du problème de la reconnaissance des noms propres, pour lesquels une bonne couverture lexicale est très difficile à  obtenir alors qu'ils participent significativement à l'intelligibilité du discours. Ce travail comporte deux parties  qui concernent respectivement la modélisation des contextes et l'intégration de ces modèles dans un processus de reconnaissance  multi-passes.

 

Liste des personnes à contacter :  Irina Illina , Responsable du projet ANR ContNomina , INRIA-LORIA , Nancy , équipe Parole, tel 03 54 95 84 90, illina @ loria . fr   Dominique Fohr , tel 03 83 50 20 27,  fohr @ loria . fr 

 

 

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6-5(2013-10-10) PhD-position at CITEC, Bielefeld University, Germany
PhD-position at CITEC, Bielefeld University, Germany ====================================================
TOPIC: Embodied cognitive modeling of language processing and dialogue ----------------------------------------------------------------------
We are seeking highly qualified candidates who want to participate as a PhD student researcher in a larger scale project at Bielefeld University's Center of Excellence on Cognitive Interaction Technology (CITEC) [1,2]. The project aims to investigate how a robot can familiarize itself with novel objects and actions through exploratory manual interaction in its environment under guidance of a human tutor. The goal is to develop deep representations of objects and actions, using language to engage in dialogue with the tutor to guide the ongoing interaction and familiarization process. Language processing and dialogue shall thereby be grounded in embodied cognitive processes.
In particular, we are searching for a PhD student working on the language aspects of this project. The task is to build a cognitively motivated representation system which interconnects different levels of abstraction and is grounded in the (already present) lower-level sensorimotor capabilities of the robot. The researcher will have to develop an intermediate type of conceptual representation which should be based on or is connected to schema theories and should in particular focus on dynamic representation of action. The targeted outcome is an implemented formalism for action semantics that links up lower-levels of sensorimotor processing with linguistic processing of syntax and semantics, as e.g. provided by construction grammar based approaches. A second goal is to build dialogue strategies on top of this formalism, e.g. to enable clarification questions geared to reduce uncertainty in this mental simulation.
The successful candidate has a background in Cognitive Science/A.I. and Linguistics, and is in particular familiar with, or motivated to learn about a deep understanding of cognition within holistic approaches to complex embodied cognitive systems. Knowledge on cognitive linguistic formalism and schema theory will be helpful.
Overview --------
The successful candidate is expected to have a strong background in at least two of the following areas:
* Cognitive Science * Computational Linguistics * Mental Representation * Cognitive Robotics
Candidates with expertise in several topics will be given preference. Applicants are expected to have strong programming skills, the ability to work independently, strong interpersonal skills as well as strong English language skills. Candidates should be qualified for and willing to perform state-of-the-art research. Knowledge of German is not required.
The project will provide the chance to perform cutting-edge research in an international context. The PhD applicant will be primarily associated with two research groups participating in this project: The Sociable Agents Group [3] (Prof. Dr. Stefan Kopp) developing cognitive systems capable of multimodal communication and social interaction, and the Emergentist Semantics Group [4] (PD Dr. Katharina Rohlfing) investigating the emergence of meaning in children and learning systems. Within these groups, the applicant will receive supervision and support in developing the necessary skills to produce high-quality research necessary to earn a PhD Degree.
The salary for the position is around 3.300 Euro per month (pre taxes), according to scale TV-L E 13 in the German University System and can vary depending on age, marital status, tax class, etc. [5]. The salary increases with the duration of the employment.
The position is available for two years and can be prolonged for one more year. Candidates are expected to start on January 1st, 2014. Applications from suitably qualified handicapped and severely handicapped persons are expressly encouraged.
Bielefeld University has received a number of awards for its achievements in the provision of equal opportunity and has been recognised as a family friendly university. The University welcomes applications from women. This is particularly true with regard both to academic and technical posts as well as positions in Information Technology and trades and crafts. Applications are handled according to the provisions of the state equal opportunity statutes.
Applications are invited until 31.10.2013 and will be processed as they are received. Interviews will be scheduled via Skype in the first half of November.
Applicants will be informed of the outcome of the selection in the second half of November.
Applications should be sent by email to
Prof. Stefan Kopp Sociable Agents Group, Faculty of Technology Email: stefan.kopp@uni-bielefeld.de
preferably as *one* PDF document including a CV, motivation letter, publication record (if applicable), record of teaching activities (if applicable) and any other relevant information in addition to the names of two referees.
Or by mail to the following address:
Bielefeld University, CITEC Inspiration 1 33619 Bielefeld Germany
The application should highlight the expertise in the areas mentioned above and express the research interests of the applicant.
Location --------
Bielefeld is one of the 20 largest cities in Germany (with close to 330.000 inhabitants) [6]. It is a lively city with a lot of cultural and entertainment opportunities. It is located in the heart of the Teutoburg Forest [7], offering many opportunities for outdoor and leisure activities.
[1] http://www.uni-bielefeld.de/ [2] http://www.cit-ec.de/ [3] http://www.techfak.uni-bielefeld.de/ags/soa/ [4] http://www.cit-ec.de/de/es [5]https://de.wikipedia.org/wiki/Tarifvertrag_für_den_öffentlichen_Dienst_der_Länder [6] https://en.wikipedia.org/wiki/Bielefeld [7] https://en.wikipedia.org/wiki/Teutoburg_Forest
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6-6(2013-10-10) Poste d'ATER, Aix-Marseille, F

Un poste d'ATER rattaché au département de sciences du langage et au laboratoire Parole et Langage à Aix-Marseille Université a été ouvert dans le cadre d'une campagne de recrutement au fil de l'eau.

 
Vous trouverez un appel à candidatures à l'adresse : http://drh.univ-amu.fr/public_content/recrutement-ater-au-fil-leau. Il s'agit du poste P1-941 pour lequel la date-limite de dépôt des candidatures est fixée au 18 octobre et la date de prise de fonction au 1er décembre.
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6-7(2013-10-11) Assistant Professor tenure-track position in computational linguistics/language science at Rochester Institute of Technology

R·I·T

Rochester Institute of Technology, College of Liberal Arts

FACULTY POSITION POSTING FORM©

 

Position Title: Instructional Faculty

Faculty Rank: Assistant Professor

Faculty Type: Tenure Track

Department: English

PC# 8735 Requisition# 797BR

Anticipated Start Date:  August 13, 2014

 

BRIEF JOB DESCRIPTION:

The Department of English at the Rochester Institute of Technology invites applications for an Assistant Professor of English tenure-track positionto begin August 13, 2014 with specialization in computational linguistics and/or innovative technical methods in language science, with a focus on one or more areas of application. Possible areas include:

 

  • Cultural or social analytics

  • Speech technology

  • Human-computer communication

  • Clinical, assistive, and/or access technology

  • Cognitive modeling of linguistic processes (for example reading)

  • Games and/or social media

 

The applicant should demonstrate a fit with our commitment to collaborate with colleagues across the university on curricular and research initiatives in digital humanities and language science.

 

DETAILED JOB DESCRIPTION:

The successful applicant will be a teacher and a researcher with an agenda that emphasizes innovative technical methods in linguistics, for instance natural language processing, corpus-based studies, linguistic/multimodal sensors, speech technology, and/or other computational approaches. We are seeking a scholar who engages in disciplinary and interdisciplinary teamwork and has a coherent plan for grant seeking activities. The right candidate will contribute to our department’s profile in the digital humanities, in addition to furthering our interdisciplinary language science curriculum in a college of liberal arts at a technical university. Contributions that build students’ global education experiences are additionally valued.

 

Teaching assignments may include Introduction to Language Science, Language Technology, Introduction to Natural Language Processing, Advanced Topics in Computational Linguistics, Language & Brain, self-designed courses, and other courses in the linguistics or general education frameworks such as Dialects & Identity, Text & Code, or Evolving English Language. The course teaching load is 3/2.

 

We are seeking an individual who has the ability and interest in contributing to a community committed to Student Centeredness; Professional Development and Scholarship; Integrity and Ethics; Respect, Diversity and Pluralism; Innovation and Flexibility; and Teamwork and Collaboration. Select to view links to RIT’s core values,honor code, and diversity commitment.  

 

THE UNIVERSITY AND ROCHESTER COMMUNITY:

RIT is a national leader in professional and career-oriented education. Talented, ambitious, and creative students of all cultures and backgrounds from all 50 states and more than 100 countries have chosen to attend RIT.  Founded in 1829, Rochester Institute of Technology is a privately endowed, coeducational university with nine colleges and institutes emphasizing career education and experiential learning.  With approximately 15,000 undergraduates and 3,000 graduate students, RIT is one of the largest private universities in the nation.  RIT offers a rich array of degree programs in engineering, science, business, and the arts, and is home to the National Technical Institute for the Deaf. RIT has been honored by The Chronicle of Higher Education as a “Great Colleges to Work For” for four years.  RIT is responsive to the needs of dual career couples by our membership in the Upstate NY HERC.

 

Rochester, located on Lake Ontario, is the 79th largest city in the United States and the third largest city in New York State.  The Greater Rochester region, which is home to nearly one million people, is rich in cultural and ethnic diversity, with a population comprised of approximately 16% African and Latin Americans and another 7% of international origin.  It is also home to the largest deaf community per capita in the U.S.  Rochester ranks 3rd best metropolitan regions for Raising a Family' by Forbes Magazine; 6th among 379 metropolitan areas as “Best Places to Live in America” by Places Rated Almanac; 1st in Expansion Management Magazine’s ranking of metropolitan areas having the best “Quality of Life in the Nation”; and is among Essence Magazine’s “Top 10 Cities for Black Families.”

 

REQUIRED MINIMUM QUALIFICATIONS:

  • Ph.D. in Linguistics (or an allied field) in hand prior to appointment date

  • Advanced graduate coursework in language science and technical methods

  • Evidence of outstanding teaching

  • Experience teaching or mentoring diverse or multi-disciplinary students

  • Evidence of publication and a coherent plan for research and grant seeking activities

  • Ability to contribute in meaningful ways to the college’s continuing commitment to cultural diversity, pluralism, and individual differences.

 

HOW TO APPLY:

Apply online at http://careers.rit.edu/faculty. Search: 797BR. Please submit your cover letter; CV; copy of transcripts of graduate coursework; a research statement; a teaching statement; writing sample/portfolio; Contribution to Diversity Statement; and the names, addresses and phone numbers for three references.

 

CONTACT:

Please direct questions to Dr. Cecilia Ovesdotter Alm at: coagla@rit.edu or (585) 475-7327.

 

APPLICATION DEADLINE:

Review of applications will begin on November 15, 2013.

 

RIT does not discriminate. RIT promotes and values diversity, pluralism and inclusion in the work place. RIT provides equal opportunity to all qualified individuals and does not discriminate on the basis of race, color, creed, age, marital status, sex, gender, religion, sexual orientations, gender identity, gender expression, national origin, veteran status or disability in its hiring, admissions, educational programs and activities.

 

 

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6-8(2013-10-16) Part-time Position (E13, 50%) in the field of “Adaptive Speech Synthesis”, Bielefeld University, Germany

Part-time Position (E13, 50%) in the field of “Adaptive Speech Synthesis”, Bielefeld University, Germany

The Excellence Cluster Cognitive Interaction Technology (CITEC) [1] at Bielefeld University [2], Germany offers an open part-time (PhD) position in the field of 'Adaptive Speech Synthesis”. The position (TV-L E13, 50%) is part of the interdisciplinary large scale project “Cognitive Service Robotics Apartment as Ambient Host” funded by CITEC.

Cognitive interaction technology such as social robots or ambient intelligent environments have still not achieved socially smooth interaction skills that allow them to seamlessly blend in to our everyday lives consisting of a large variety of social situations. To achieve such skills for our intelligent robotic apartment an interdisciplinary team of roboticists, linguists and psychologists is working together.

One research focus lies investigates the interaction of psychological, linguistic and situational factors influencing human perception, interpretation and behavior. Here, our research pertains to questions relating to social categories, linguistic style and adaptive behavior. In our second research strand on social awareness we investigate how to determine classes of situations that are relevant for behavior adaptation. Methods for automatically recognizing such situations from large-scale sensoric input will be developed. Verbal and non-verbal interaction capabilities are investigated and modeled in the third research dimension enabling interaction with ambient interfaces and combining multi-modal dialogue with physical interaction. Finally, to achieve 24/7 operation we address issues of software architecture and extend existing system engineering approaches to our research environment. We further focus on questions of data management to deal with the large amounts of data and their efficient storage for further research.

The overall approach builds on a highly dynamic process of evaluation and implementation, thus requiring excellent team qualities from all researchers.

Work in the open position will concentrate on the further development of a speech synthesizer as part of an incremental dialogue system and its integration into a cognitive robotic apartment. The speech synthesis will be able to adapt its voice and speaking style according to situational needs (background noise, interaction role), across different embodiments (as robot, as part of the ambient interaction components of the apartment) and interaction partner (guest, familiar person). The various situations lend to a set of interaction primitives along with the necessary stylistic adaptations that need to be empirically investigated and defined. As the apartment will be equipped with a variety of verbal and non-verbal interaction capabilities, an optimal interaction strategy needs to be determined based on the situational needs. The adaptive speech synthesis will be evaluated throughout its development as part of the project.

QUALIFICATIONS  The successful candidate is expected to have a strong background in:

  • Speech Synthesis and/or Speech Enhancement
  • Prosody
  • Experimental Phonetics

Candidates with expertise in several of the topics mentioned above will be given preference. Applicants are expected to have strong programming skills, the ability to work independently but as part of a larger team, to be open for interdisciplinary collaboration and to have strong English language skills. Knowledge of German is not required.

The position is embedded in the Work Group Phonetics and Phonology within the Faculty of Linguistics and Literature. The group’s research focus lies in multimodal interaction, discourse prosody, rhythm and prosodic prominence in natural and synthetic speech. An overview of the ongoing workgroup projects and publications can be found here: [5]. 

Postdoc applicants will have the chance to perform independent research on the topics of the group that qualifies them for an academic career and allows them to position themselves as independent researchers in the community. PhD applicants will receive extended supervision and support through the collaboration with the project partners at CITEC, in particular Prof. Dr. Petra Wagner.

The salary is according to scale TV-L E 13 (50%) in the German University System and can vary depending on age, marital status, tax class etc. The salary increases with the duration of the employment. An online tool to calculate the post-tax income can be found at [3] (indicating E 13, 50%).
The position is funded for three years. Candidates are expected to start on 01.03.2014. Applications are invited until 23.12.2013 and will be processed as they are received.
Applications from suitably qualified handicapped and severely handicapped persons are expressly encouraged. Bielefeld University has received a number of awards for its achievements in the provision of equal opportunity and has been recognized as a family friendly university. The University welcomes applications from women. This is particularly true with regard both to academic and technical posts as well as positions in Information Technology and trades and crafts. Applications are handled according to the provisions of the state equal opportunity statutes.
Bielefeld is one of the 20 largest cities in Germany (with approx. 330.000 inhabitants). It is a lively city with a lot of cultural and entertainment opportunities [4]. Located in the heart of the Teutoburg Forest, it offers opportunities for outdoor and leisure activities.
CONTACT AND APPLICATION  Informal inquiries can be sent to petra.wagner@uni-bielefeld.de. A full application shall consist of (i) detailed resume or CV and (ii) a concise statement why you are interested in this research project., preferably given in one pdf-document.
Please submit your application via email to: alexandra.kenter@uni-bielefeld.de. [1] http://www.cit-ec.de

[2] http://www.uni-bielefeld.de/International/

[4] http://www.bielefeld.de/en/index.html

[5] http://www.uni-bielefeld.de/lili/forschung/ag_fachber/phonetik/ (German)

 
 
Prof. Dr. Petra Wagner
Fakultät für Linguistik und Literaturwissenschaft
Universität Bielefeld
Postfach 10 01 31
33501 Bielefeld
Germany
 
Tel.: +49 521 106-3510
Fax: +49 521 106-2996 
 
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6-9(2013-10-17) PhD Stipend in Sound Scene Analysis for Hearing Aid Applications, Aalborg University, DK
PhD Stipend in Sound Scene Analysis for Hearing Aid Applications ---------------------------------------------------------------------------------------------
At the Faculty of Engineering and Science, Department of Electonic Systems a PhD stipend in Sound Scene Analysis for Hearing Aid Applications is available within the general study programme Electrical and Electronic Engineering. The stipend is open for appointment from December 1, 2013, or as soon as possible thereafter.
Job description --------------------- The PhD researcher will work on the research project 'Sound Scene Analysis for Hearing Aid Applications'.
This research project focuses on the problem of statistically optimal sound scene analysis. Specifically, the problem is to optimally determine the number and physical location of sound sources and furthermore analyze the sound scene in terms of background noise level, reverberation level, etc. Mother Nature imposes fundamental limits on the accuracy with which this information can be extracted from time-limited, noisy microphone signals: the project is concerned with determining what these limits are and designing algorithms which approach them.
While initial phases of the project focus on 'local' sound scene analysis algorithms which make use of the microphones in a given hearing aid, later stages encompass emerging wireless technologies, which allow hearing aids to communicate with external, wirelessly connected, microphones.
You may obtain further information concerning the scientific aspects of the position from Professor Jesper Jensen, Department of Electronic Systems, Aalborg University and Oticon A/S, phone: +45 39138981, email: jje@es.aau.dk  and jsj@oticon.dk.
The research project is a cooperation between Aalborg University, Aalborg and Oticon A/S, Copenhagen who is a world-leading hearing aid manufacturer. The successful applicant will be enrolled at Aalborg University; the research will be carried out partly at Aalborg University and partly at Oticon.
The Department of Electronic Systems at Aalborg University and Oticon A/S offer an attractive scientific environment in an international team of scientists and access to state-of-the-art equipment and labs.
We are looking for a candidate with a Master (or equivalent) degree in electrical engineering, computer science, physics, or a related field. Documented excellence is necessary in statistical signal processing (preferably including estimation and detection theory). Ideally, the applicant has a solid background in acoustics and/or auditory perception. Familiarity with scientific tools and programming languages such as MATLAB or C, as well as excellent English language skills are required. Knowledge about hearing aid technology is desirable.
The application must include - application and a letter of motivation, - CV, - a copy of your university diplomas and grades, - one-page description of the candidates research ideas within the research area, - three named references incl. contact information, - relevant publications, if any.
Application Deadline: November 15, 2013.
PhD stipends are allocated to individuals who hold a Masters degree. PhD stipends are normally for a period of 3 years. It is a prerequisite for allocation of the stipend that the candidate will be enrolled as a PhD student at the Doctoral School of the Faculty of Engineering and Science, in accordance with the regulations of Ministerial Order No. 18 of January 14, 2008 on the PhD Programme at the Universities. According to the Ministerial Order, the progress of the PhD student shall be assessed every six months. It is a prerequisite for continuation of salary payment that the previous progress is approved at the time of the evaluation.
The qualifications of the applicant will be assessed by an assessment committee. On the basis of the recommendation of the assessment committee, the Dean of the Faculty of Engineering and Science will make a decision for allocating the stipend.
For further information about stipends and salary as well as practical issues concerning the application procedure contact Ms. Lisbeth Diinhoff, The Faculty of Engineering and Science, email: ld@adm.aau.dk ,  phone: +45 9940 9589.
The faculty have a research school, The Doctoral School of Engineering and Science: www.phd.teknat.aau.dk and a Network for all PhD students: www.pau.aau.dk.
The application is to be submitted at http://www.vacancies.aau.dk
Agreement ---------------- Appointment and salary as a PhD fellow are according to the Ministry of Finance Circular of March 26, 2012 on the Collective Agreement for Academics in Denmark, Appendix 5, regarding PhD fellows, and with the Ministry of Finance Circular of June 13, 2007 on the employment structure at Danish Universities.
Deadline: 15/11/2013 ------------------------------
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6-10(2014-10-24) Chargé de recherche CDD Ircam, Paris
L'Ircam recrute pour son département Recherche et Développement, un(e) chargé(e) de recherche et développement expert(e) en traitement de la parole et/ou en synthèse de parole. CDD à temps plein de 12 mois (prolongation de 6 mois possible). Poste à pourvoir à partir de Janvier 2014.
 
Plus d'infos ici :
 

http://www.ircam.fr/71.html#job_135

 
Contact : Axel.Roebel@ircam.fr
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6-11(2013-10-30) PhD at Orange Labs France

Orange Labs cherche d'urgence un doctorant  en dialogue.

 

Offre de thèse : http://intelliagence.fr/Page/Offer/ShowOffer.aspx?OfferId=53058

Contact : remi.bars@orange.com

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6-12(2013-11-04) Ingénieur de Recherche en Linguistique empirique au LABEX Empirical Foundations of Linguistics

Le LABEX Empirical Foundations of Linguistics cherche un        Ingénieur de Recherche en Linguistique empirique

  

 

  

CONTACT: 

  

Barbara Hemforth, LLF

  

ADRESSE        DU RESPONSABLE: 

  

barbara.hemforth_ at_univ-paris-diderot.fr

  

UNIVERSITÉ: 

  

Université  Paris 7

  

NIVEAU: 

  

ingénieur

  

DURÉE: 

  

23  mois (1er février 2014-31 décembre 2015), renouvelable     

  

SALAIRE: 

  

Entre  1600 et 2000 € par mois (net) en fonction de la  qualification

  

SPÉCIALITÉS: 

  

Linguistique  empirique, Psycholinguistique, Mouvement oculaire,  EEG, Techniques      comportementales

  

DATE  LIMITE DE CANDIDATURE:

 

15/12/2014

 

ADRESSE POUR LA CANDIDATURE: 

 

barbara.hemforth_at_univ-paris-diderot.fr

 

RÉFÉRENCE  DE CANDIDATURE: 

 

EFL-EM3/4

 

Description

 

Les candidats sont appelés à travailler dans le cadre d'un projet en linguistique sur 10 ans intitulé 'Empirical foundations of  linguistics' C'est un  travail à temps plein. Il est possible d'envisager deux ingénieurs à temps  partiel en fonction des candidatures.

 

Le  candidat retenu devra présenter ses diplômes en  linguistique et psycholinguistique du niveau Master. Un doctorat sera  un atout supplémentaire. Le français pourra s'avérer utile mais pas nécessaire. Les candidats seront   auditionnés par un comité d'experts. L'accent sera  mis sur les qualités du candidat pour la recherche empirique (bonnes      connaissances de paradigmes expérimentaux et statistiques), attestées par un     mémoire de Master ou  équivalent, ou une thèse de doctorat (ou PhD) ou d'autres travaux de recherche. Joindre à la candidature :

  

•  un CV

  

•  deux noms de référents (avec leur adresse  email)

  

•  Adresse email et publications

  

Le  candidat travaillera avec une équipe interdisciplinaire composée de linguistes,      de psycholinguistes et de linguistes informaticiens. L'activité consistera :

  • à harmoniser et mutualiser les techniques expérimentales du Labex

  • à  développer de nouveaux paradigmes (surtout mouvements  oculaires et EEG).

  • Le   candidat participera à la coordination du travail  empirique et à l'enseignement.

  • Nous recherchons un candidat ayant une formation solide en linguistique et psycholinguistique et de hautes aptitudes techniques et  sociales.

 

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6-13(2013-11-15) Post-doc in the project CHASING, Radbout University, The Netherlands

Vacancy for a post-doc in the project CHASING :
CHAllenging Speech training In Neurological patients by interactive Gaming

see http://hstrik.ruhosting.nl/chasing/
and http://hstrik.ruhosting.nl/chasing-post-doc-vacancy/

* Requirements
- you have a PhD in Computational or Applied Linguistics, Computer Science, Artificial Intelligence, Informatics, Cognitive Science, or Education;
- you are an experienced experimental researcher;
- you have a demonstrable ability to work in a team;
- you have programming skills- (e.g. Python, Java, JavaScript, HTML5, C/C++);
- you have an interest in e-Health, especially gaming and speech technology for speech training;
- you have a good command of the English language. Knowledge of Dutch is considered an advantage;
- you have good communication skills.

* Job description
As a postdoctoral researcher you will take part in the research project CHASING: 'CHAllenging Speech training In Neurological patients through Interactive Gaming'.
Current results indicate the need to develop advanced, motivating training devices that provide guidance on articulation improvement and support the integrated benefits of intensified, independent speech training. Since serious games are known to have strong motivational power, the CHASING project aims to investigate to what extent serious games and game principles motivate and support neurological patients in speech training.
To this end, an interactive, intuitive, user adaptive game for speech training which employs advanced speech technology will be developed and tested.
Your work will mainly address research question 1: How can speech technology and gaming be combined in an advanced, robust application for speech therapy that provides the necessary feedback?
You will be involved in developing dedicated speech technology, especially 'automatic speech recognition' (ASR) technology, integrating it into the game and in designing the game. You will carry out experiments with neurological patients, to study the effects of the game and how the game (incl. the speech technology) can be improved.

* Contact persons
  + Helmer Strik
    w.strik@let.ru.nl
    +31 24 3616104
  + Lilian Beijer
    L.beijer@maartenskliniek.nl
    +31 24 3659718 / 3659140

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6-14(2013-11-15) Director at ICSI, Berkeley, CA, USA

DIRECTOR SEARCH

International Computer Science Institute

Berkeley, California

The International Computer Science Institute (ICSI) is a leading center for research in computer

science and one of the few independent, nonprofit research institutes in the United States. With its

unique emphasis on international collaboration, ICSI brings together experts from around the world to

focus on a variety of computer science topics. This is accomplished through active international

visitor programs in which researchers from abroad visit ICSI to work with staff scientists and their

networks of academic, government, and industrial partners. There are approximately eighty scientists

in residence at ICSI including principal investigators, postdoctoral associates, visiting researchers, and

students. ICSI funding primarily comes from US Federal agencies and international visitor programs.

To learn more about ICSI, please go to

http://www.icsi.berkely.edu

ICSI is currently seeking candidates for Director of the institute. The Director will serve as the leader

and administrative head of the Institute, and report directly to the Board of Trustees. As institute

leader, the ICSI Director’s primary responsibilities are to act as an external advocate for ICSI research

and to work collaboratively with ICSI researchers and staff to: strengthen and expand ICSI’s research

agenda, identify and pursue strategic funding opportunities; maintain and expand ICSI’s international

visitor programs; and re-envision ICSI’s relationship with UC Berkeley. The Director will also

continue her/his own research program, if applicable, but the Director’s main goal is to create an

environment that enables ICSI researchers to succeed.

ICSI is an Affirmative Action/Equal Opportunity Employer. Applications from women and minorities

are especially encouraged. Please send CVs to

apply-director@ICSI.Berkeley.EDU

.

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6-15(2013-12-12) TWO SPEECH TECHNOLOGY RESEARCHERS, NIICT, Kyoto, Japan

*** JOB OPENINGS FOR TWO SPEECH TECHNOLOGY RESEARCHERS ***

Research Positions in Spoken Language Communication Technology  at Spoken Language Communication Laboratory National Institute of Information and Communications Technology, Kyoto, Japan http://www.nict.go.jp/en/general_affairs/employment/index-e-top2013-9.html http://www2.nict.go.jp/general_affairs/personnel/tempstaffinfo/exr-e/H26/2014R-9.pdf

Applications are invited for the above full-time research positions in the areas of ASR, TTS and Spoken Dialogue, with planned starting date of 1st April 2014. The closing date for applications is 29th November 2013, but we are going to extend it until the positions are filled.

The National Institute of Information and Communications Technology (NICT) is Japan's administrative research institution specializing in the field of information and communications technology, and the NICT Spoken Language Communication Laboratory, based in Kyoto, is a world-leading group in the field of innovative speech technology research. Informal inquiries should be made to Dr Yoshi Shiga (yoshi.shiga@nict.go.jp).

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6-16(2014-01-16) POST-DOCTORAL POSITION FOR THE PROJECT TYPALOC (LPL - AIX-EN-PROVENCE, FRANCE)

POST-DOCTORAL POSITION FOR THE PROJECT TYPALOC (LPL - AIX-EN-PROVENCE, FRANCE)

We invite applications for a one-year Post‐Doctoral position at the Laboratoire Parole et Langage (LPL, Aix-Marseille Université, CNRS, UMR 7309, France), to work on the project TYPALOC (Normal and Abnormal Speech Variations: TYPology, Adaptation, LOCalisation).

•    Description
The TYPALOC project is funded by the The French National Research Agency (ANR). It aims at understanding the mechanisms of speech variation, which may be the result of physiological and/or linguistic constraints. In order to achieve this, the productions of healthy speakers and speakers suffering from dysarthria are compared. The production of these two populations is observed through different speech styles (reading and spontaneous speech) to highlight the mechanisms of speaker adaptation. The corpora are manually or automatically annotated at different levels (phonetic, syllabic, lexical, prosodic, etc.). Large-scale data processing and statistical analyses are therefore necessary to achieve the project.
More information is available at the project website:
http://typaloc.univ-avignon.fr/index.html


•    Job description
The post‐doctoral fellow will be mainly involved in data processing. He/she will participate in the acoustic analyses and will then have to implement the statistical analyses planned in the project.

•    Qualifications
A Ph.D. in linguistics or experimental phonetics and solid competence/experience in statistics and data analysis are required. Experience in speech-language pathology or speech therapy is also welcome.

•    Application procedure
Candidates should send a detailed CV with a list of publications, and a cover letter with statement of research interests and details of their experience in data analysis.
Please e-mail documents to:
christine.meunier@lpl-aix.fr
(Christine Meunier, LPL, Aix-en-Provence, France).

Deadline for submission: March 1, 2014
Expected start date: May 2014 (There is some flexibility.)
Length of contract: 12 months
Salary: €2000/month (net)

   

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6-17(2014-01-20) Professeur des universités (PR0002) à l'Université Sorbonne Nouvelle Paris 3

Un poste de Professeur des universités (PR0002) est ouvert au recrutement pour la rentrée 2014 à l'Université Sorbonne Nouvelle Paris 3. Voici le descriptif ci-dessous.

 

Enseignement :

 

L’enseignant(e) recruté(e) pour ce poste interviendra à tous les niveaux de formation (licence, master, doctorat), et devra se consacrer à la formation en sciences phonétiques : phonétique acoustique et articulatoire, aspects perceptifs/cognitifs et communicationnels de la parole, didactique de la phonétique, prosodie, phonétique comparée des langues, phonétique clinique, phonologie , phonologie de laboratoire, etc. (cf. http://www.ilpga.univ-paris3.fr/documents/descriptifs-licence.pdf) et de Master  (http://www.ilpga.univ-paris3.fr/brochures/Brochure-LLP.pdf) de Sciences du Langage.

 

Composante / UFR / Lieu(x) d’exercice :

Université Sorbonne Nouvelle Paris 3

Institut de Linguistique et Phonétique Générales Appliquées

19, rue des Bernardins, 75005 Paris.

 


Recherche :

 

Le/la candidat(e) inscrira ses recherches au sein du Laboratoire de Phonétique et Phonologie (LPP, Unité Mixte de Recherche 7018), dont l’objectif est de favoriser l’enrichissement mutuel entre les sciences phonétiques et la phonologie, et l’application de cette synergie dans un grand nombre de domaines, tels que l’apprentissage d’une langue nouvelle, l’acquisition du langage, la remédiation, la typologie des langues, etc.

 

Les thèmes de recherche du laboratoire pour les cinq prochaines années sont les suivants : Phonétique et phonologie des langues du monde, Phonétique clinique, Développement d’instrumentations, Questionnements phonétiques, phonologiques et psycholinguistiques, TAL et Phonétique / phonologie de corpus, Acquisition d’une langue étrangère.

 

Le laboratoire de phonétique et de phonologie est membre fondateur du labex « Empirical Foundations of Linguistics » (EFL : http://www.labex-efl.org/), et les travaux de recherche du candidat devront également s’inscrire dans ses thématiques.

 

 

 

Laboratoire de rattachement : Laboratoire de Phonétique et Phonologie (LPP), UMR 7018 (http://lpp.in2p3.fr/)

 

Administration :

 

Le/la candidat(e) assumera des responsabilités administratives, pédagogiques et scientifiques au sein du laboratoire et du département. Il/elle travaillera activement au maintien et au développement des contacts avec le secteur de la santé, de l'orthophonie et de l'éducation., ainsi qu’aux synergies internes à Sorbonne Paris Cité.'

 

 

Pour plus d'informations :

 

Contacts : Jacqueline Vaissière; Pierre Hallé
Téléphone : 01 44 32 05 74
E-mail : vaissiere238@gmail.com, pierre.halle@univ-paris3.fr

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6-18(2014-01-19) Poste de Maitre de Conférences (MCF0621) à l'Université Sorbonne Nouvelle Paris 3.

 

 

Un poste de Maitre de Conférences (MCF0621) est ouvert au recrutement pour la rentrée 2014 à l'Université Sorbonne Nouvelle Paris 3. Voici le descriptif ci-dessous.

 

Enseignement :

 

L’enseignant(e) recruté(e) pour ce poste interviendra en licence et en master des sciences du langage (cf. pour la licence : http://www.ilpga.univ-paris3.fr/documents/descriptifs-licence.pdf et pour le master  http://www.ilpga.univ-paris3.fr/masters.html).  Il/elle assurera des enseignements fondamentaux en linguistique générale et dans son domaine de spécialité (phonologie, morphologie, etc.). Il/elle renforcera les connaissances générales sur la diversité des langues auprès du public étudiant de l’ILPGA, dont c’est une spécificité

 

Composante / UFR / Lieu(x) d’exercice :

Université Sorbonne Nouvelle Paris 3

Institut de Linguistique et Phonétique Générales Appliquées

19, rue des Bernardins, 75005 Paris.

 


Recherche :

 

            Le/la candidat(e) inscrira ses recherches dans une des unités de recherche liées à l’ILPGA, en particulier le Laboratoire de Phonétique et de Phonologie et le Lacito, avec les thématiques desquelles ses travaux devront être convergents. Il/elle développera des recherches dans les domaines de la phonologie, de la morphologie et/ou de la syntaxe, dans une perspective de diversité des langues (expertise d’une famille ou d’une aire linguistique, ou approche typologique). Seront par ailleurs privilégiés les approches et les modèles fondés sur des contraintes.

 

 

Laboratoire de rattachement : Laboratoire de Phonétique et Phonologie (LPP), UMR 7018 (http://lpp.in2p3.fr/) ou LACITO (Laboratoire des Langues et Civilisations à Tradition Orale), UMR7107 (http://lacito.vjf.cnrs.fr/).


Autres :

Le/la candidat(e) assumera des responsabilités administratives, pédagogiques et scientifiques au sein du département.

 

Pour plus d'informations :

 

Contacts : Cédric Gendrot

Téléphone : 01 44 32 05 74

E-mail : cgendrot@univ-paris3.fr

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6-19(2014-01-21) Postdoctoral fellowship opportunities for finish German PhD students at ICSI in Berkeley

Postdoctoral fellowship opportunities for finish German PhD students at ICSI in Berkeley 

for details :

https://www.daad.de/ausland/studieren/stipendium/de/19047-internationale-forschungsaufenthalte-in-der-informationstechnologie-fitweltweit/

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6-20(2014-01-22) POSTDOCTORAL POSITION at PAROLE team, Inria Nancy, France

POSTDOCTORAL POSITION

*SUBJECT*: Deep neural networks for source separation and noise-robust ASR

*LAB*: PAROLE team, Inria Nancy, France
*SUPERVISORS*: Antoine Liutkus (antoine.liutkus@inria.fr) and Emmanuel Vincent (emmanuel.vincent@inria.fr)
*START*: between November 2014 and January 2015
*DURATION*: 12 to 16 months
*TO APPLY*: apply online before June 10 at http://www.inria.fr/en/institute/recruitment/offers/post-doctoral-research-fellowships/post-doctoral-research-fellowships/campaign-2014/%28view%29/details.html?nPostingTargetID=13790 (earlier application is preferred)

Inria is the biggest European public research institute dedicated to computer science. The PAROLE team in INRIA Nancy, France, gathers 20+ speech scientists with a growing focus on speech enhancement and noise-robust speech recognition exemplified by the organization of the CHiME Challenge [1] and ISCA's Robust Speech Processing SIG [2].

The boom of speech interfaces for handheld devices requires automatic speech recognition (ASR) system to deal with a wide variety of acoustic conditions. Recent research has shown that Deep Neural Networks (DNNs) are very promising for this purpose. Most approaches now focus on clean, single-source conditions [3]. Despite a few attempts to employ DNNs for source separation [4,5,6], conventional source separation techniques such as [7] still outperform DNNs in real-world conditions involving multiple noise sources [8]. The proposed postdoctoral position aims to overcome this gap by incorporating the benefits of conventional source separation techniques into DNNs. This includes for instance the ability to exploit multichannel data and different characteristics for separation and for ASR. Performance will be assessed over readily available real-world noisy speech corpora such as CHiME [1].

Prospective candidates should have defended a PhD in 2013 or defend a PhD in 2014 in the area of speech processing, machine learning, signal processing or applied statistics. Proficient programming in Matlab, Python or C++ is necessary. Practice of DNN/ASR software (Theano, Kaldi) would be an asset.

[1] http://spandh.dcs.shef.ac.uk/chime_challenge/

[2] https://wiki.inria.fr/rosp/

[3] G. Hinton, L. Deng, D. Yu, G. Dahl, A.-R. Mohamed, N. Jaitly, A. Senior, V. Vanhoucke, P. Nguyen, T. Sainath, and B. Kingsbury, 'Deep neural networks for acoustic modeling in speech recognition', IEEE Signal Processing Magazine, 2012.

[4] S.J. Rennie, P. Fousek, and P.L. Dognin, 'Factorial Hidden Restricted Boltzmann Machines for noise robust speech recognition', in Proc. ICASSP, 2012.

[5] A.L. Maas, T.M. O’Neil, A.Y. Hannun, and A.Y. Ng, 'Recurrent neural network feature enhancement: The 2nd CHiME Challenge', in Proc. CHiME, 2013.

[6] Y. Wang and D. Wang. 'Towards scaling up classification-based speech separation”, IEEE Transactions on Audio, Speech and Language Processing, 2013.

[7] A. Ozerov, E. Vincent, and F. Bimbot, 'A general flexible framework for the handling of prior information in audio source separation', IEEE Transactions on Audio, Speech and Language Processing, 2012.

[8] J. Barker, E. Vincent, N. Ma, H. Christensen, and P. Green, 'The PASCAL CHiME Speech Separation and Recognition Challenge', Computer Speech and Language, 2013.

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6-21(2014-01-22) PhD position on Automatic analysis of affective and social behaviors in human-robot interaction, Univ Twente, The Netherlands

PhD position on Automatic analysis of affective and social behaviors in human-robot
interaction

http://www.utwente.nl/vacatures/en/

Job specification
The Human Media Interaction group at the University of Twente is looking for a PhD
candidate who will automatically analyse social interactions based on the speakers'
non-verbal behaviors in speech (paralinguistic information). The aims are to automatically
determine the quality of social interaction between the speakers (both in dialogues and
multi-party conversations) and the speakers' affective states using vocal cues.
Qualitative aspects of social interaction include, amongst others, levels of engagement,
cooperation, enjoyableness, arousal, valence and rapport.

The work will be carried out within the contexts of two European projects involving
robots, namely TERESA and SQUIRREL. In the TERESA project, a telepresence robot is
controlled by a human controller who can have robot-mediated conversations with other
humans in the vicinity of the robot. In order to know whether a specific speaker attitude
is caused by the robot's or the human controller's behavior, an assessment of the
interaction is needed. The challenges are to give a continuous assessment of the quality
of interaction under natural conditions, and to find out what non-verbal vocal cues can be
used to detect qualitative aspects of social interaction. In the SQUIRREL project,
children will be interacting with a robot that aims to encourage and help them tidy up and
put objects back in order. In order to design effective robot behaviors that encourage and
help children tidy up, an assessment of the interaction among the children and the robot
is needed: is the interaction fun, are the children engaged in the task, is one of the
children excluded in the interaction?

The work will cover a range of various tasks:

* The candidate will collect speech data by recording social interactions between adult
humans (French) and among children (German) and robots. (S)he will develop and manage
audio(visual) databases of these recorded interactions.

* The candidate will perform analyses on the non-verbal vocal behavior of the recorded
interactions. The candidate will investigate what types of qualitative and affective
aspects of social interaction are relevant in this context and annotations will be made.

* (S)he will identify relevant non-verbal vocal cues that correlate with qualitative and
affective aspects of social interaction.

* Based on these annotations, the candidate will develop algorithms to automatically
assess qualitative and affective aspects of social interaction, both in human adult and
children speech.

* The candidate is expected to present his/her work in major (international) conferences
and workshops, and to publish in relevant journals.


Your Profile

* The candidate should have fluent command of English as a written and spoken language.
Since the candidate will be working with Dutch, French and German data, knowledge of these
languages is preferable.

* The candidate has an MSc degree in Computer Science or equivalent (a degree with a
technical background in, e.g., Artificial Intelligence, Computational Linguistics).

* The candidate is interested in the research fields of speech analysis, affective
computing, social signal processing, and machine learning.

* The candidate has programming skills in one of the following languages (or equivalents):
Python, Perl, or Matlab.

Please send your application with your CV and motivation letter through the application
link before February 7, 2014. Please also include the names, email addresses, phone
numbers, and information about past working relationships of two people that we could
contact for a recommendation.

Further information about the PhD position can be given by Dr. Khiet Truong
(k.p.truong@utwente.nl) and Prof. Dr. Vanessa Evers (email: v.evers@utwente.nl).

Our offer
We offer a full-time PhD position in a dynamic and international environment. The duration
of the contract is four years. The gross salary will range from € 2.083,00 in the first
year to € 2.664,00 per month in the fourth year. Additionally, the University of Twente
provides excellent facilities for professional and personal development. In addition, we
offer a holiday allowance (amounts to 8%) and an end-of-year bonus of 8.3% and a number of
additional benefits. The labor agreements are in accordance with the CAO-NU for Dutch
universities.

The Organisation
The University of Twente.
We stand for life sciences and technology. High tech and human touch. Education and
research that matter. New technology which drives change, innovation and progress in
society. The University of Twente is the only campus university in the Netherlands;
divided over six faculties we provide more than fifty educational programmes. The
University of Twente has a strong focus on personal development and talented researchers
are given scope for carrying out pioneering research.

The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) comprises
three disciplines that shape Information and Communication Technology. ICT is more than
communication. In almost every product we use mathematics, electronics and computer
technology and ICT now contributes to all of societies' activities. The faculty works
together intensively with industrial partners and researchers in the Netherlands and
abroad and conducts extensive research for external commissioning parties and funders. The
research which enjoys a high profile both at home and internationally, has been
accommodated in the multidisciplinary research institutes MESA+, CTIT and MIRA.

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6-22(2014-01-22) POST-DOCTORAL POSITION FOR THE PROJECT IFCASL (LORIA, NANCY, FRANCE)

POST-DOCTORAL POSITION FOR THE PROJECT IFCASL (LORIA, NANCY, FRANCE)

We invite applications for a one-year Post‐Doctoral position at the Laboratoire LORIA (Lorraine University, INRIA, CNRS, UMR 7306, France), to work on the project IFCASL (Individualised Feedback in Computer-Assisted Spoken Language learning).

•    Description
The IFCASL project is funded by the Deutsche Forschunggemeinschaft (DFG) and the French National Research Agency (ANR). It aims at increasing the usability and efficiency of computer-assisted language learning software by adapting content, feedback and exercises to individual learners in the speech dimension of a foreign language. This will be achieved by integrating the production and perception of the learner’s own speech and focusing on the French-German language pair, in both directions.

The objective is to offer feedback that relies on phonetic knowledge incorporated in the learning system and interacts relevantly with automatic speech recognition (ASR) and signal processing. This means that confidence in the results returned by ASR will be taken into account to derive diagnoses and feedback: the higher the confidence the more explicit the level of feedback.

A corpus of German recorded by French learners and a second of French recorded by German learners will be exploited to determine errors on the one hand, and to develop algorithms involved in feedback on the other hand.

•   
Job description
The post‐doctoral fellow will be mainly involved in the development of the signal processing and automatic speech recognition algorithms intended to realize the diagnosis and acoustic feedback provided to learners.

•   
Qualifications
A Ph.D. in signal processing or in computer sciences (automatic speech recognition, statistic modeling) and solid competence/experience in JAVA development are required. Experience in phonetics and speaking German and French are also welcome.

•   
Application procedure
Candidates should send a detailed CV with a list of publications, and a cover letter with statement of research interests and details of their experience in signal processing, automatic speech recognition and JAVA.
Please e-mail documents to:
Yves.Laprie@loria.fr (Yves Laprie, LORIA, Nancy, France).

Deadline for submission: March 30, 2014
Expected start date: May 2014 (There is some flexibility.)
Length of contract: 12 months
Salary: €2000/month (net)

   

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6-23(2014-11-03) CfP ACM Multimedia 2014 - Area on Music, Speech, and Audio Processing in Multimedia, Orlando, Florida, USA
Call for short and long paper contributions for ACM Multimedia 2014 - Area on Music, Speech, and Audio Processing in Multimedia November 3-7, 2014 Orlando, Florida, USA (For general information and information on other areas check http://www.acmmm.org/2014/) As a core part of multimedia data, the acoustic modality is of great importance as a source of information that is orthogonal to other modalities like video or text. This allows for richer information to be extracted when performing content analysis, as well as a rich mean of communication of information. We are seeking strong technical submissions revolving around music, speech and audio processing in multimedia. One topic of interest is submissions performing an analysis of the acoustic signals in order to extract information from multimedia content (e.g. what notes are being played, what is being said, or what sounds appear), or the context (e.g. language spoken, age and gender of the speaker, localization using sound). Another topic of interest is submissions performing synthesis of acoustic content for multimedia purposes (e.g. speech synthesis, singing voices, acoustic scene synthesis). Furthermore, we are also interested in ways to represent acoustic data as multimedia; for example, in symbolic form (e.g. closed captioning of speech), in the form of sensor input and visual images (e.g. recordings of gestures in musical performances). or others. Another topic of interest is applications that involve the acoustic modality. The inclusion of acoustics opens up interesting possibilities for novel multimedia interfaces and user interactions. In addition, contextual, social and affective aspects play an important role when using acoustics, which can be seen, for example, in the consumption and enjoyment of music, and the sound design of cinematic productions. All submissions should maintain a clear relation to multimedia: there either should be an explicit relation to multimedia items, applications or systems, or an application of a multimedia perspective, in which information sources from different modalities are considered. Topics of interest include, but are not limited to: · Multimedia audio analysis and synthesis · Multimedia audio indexing, search, and retrieval · Music, speech, and audio annotation, similarity measures, and evaluation · Multimodal and multimedia approaches to music, speech, and audio · Multimodal and multimedia context models for music, speech, and audio · Computational approaches to music, speech, and audio inspired by other domains (e.g. computer vision, information retrieval, musicology, psychology) · Multimedia localization using acoustic information · Social data, user models and personalization in music, speech, and audio · Music, audio, and aural aspects in multimedia user interfaces · Algorithms and applications of music, speech, and audio · New and interactive musical instruments, systems and other music, speech, and audio applications · Novel interaction interfaces using/with music, speech, and audio · Music, speech, and audio coding, transmission, and storage for multimedia applications Deadlines for long papers is March 31st, 2014 and for short papers is April 14th, 2014 For other deadlines please check http://www.acmmm.org/2014/important_dates.html 
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6-24(2014-02-18) Speech Data Evaluator for French at Google, Dublin

Speech Data Evaluator for French

Job title:

Speech Data Evaluator for French (Multiple positions)

 

Linguistic Field(s):

  • Phonetics/Phonology

  • Semantics

  • Discourse Analysis

 

Job description:

As
a Speech Data Evaluator and a native-level speaker of French, you will
be part of a team based in Dublin, processing large amounts of
linguistic data and carrying out a number of tasks to improve the
quality of Google’s speech synthesis and speech recognition in your own
language.

 

This includes:

  • classifying and annotating linguistic data

  • transcription

  • labeling text for disambiguation, expansion, and text normalization

  • providing phonetic transcription of lexicon entries according to given standards and using in-house tools

 

Job requirements:

  • native-level speaker of French (with good command of the standard dialect) and fluent in English

  • passion for language with good knowledge of orthography and grammar in the target language

  • a
    degree in a language-related field such as linguistics, language
    teaching, translation, editing, writing, proofreading, or similar

  • keen
    interest in technology and computer-literate (should feel comfortable
    using in-house tools and should have an interest in current speech,
    mobile and online technology)

  • attention to detail and good organizational skills

 

Project duration: 6-11 months (with potential for extension)

**This is not a permanent position but a contract position.**

 

For
immediate consideration, please email your CV and cover letter in
English (PDF format preferred) with 'Speech Data Evaluator [French]' in
the subject line.

 

Email Address for applications: DataOpsMan@gmail.com

Contact information: Ara Kim

Closing date: open until filled

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6-25(2014-02-20) PhD scholarship on deep neural networks , INRIA, Nancy, F

We are pleased to offer a PhD scholarship on deep neural networks for source separation and noise-robust ASR
http://www.inria.fr/en/institute/recruitment/offers/phd/campaign-2014/%28view%29/details.html?nPostingTargetID=14062 
 


We are looking forward to receiving applications by April 18 (please do not wait until the later deadline indicated on the website).

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6-26(2014-02-20) 3 positions of Maitre de conférence (lecturer) at Avignon, F

Trois postes de Maître de Conférences en informatique (section 27) sont mis au concours pour la campagne 2014 au Centre d'Enseignement et de Recherche en Informatique de l'Université d'Avignon (ceri.univ-avignon.fr).

Les personnes recrutées effectueront leur recherche au sein du LIA (lia.univ-avignon.fr).

Les profils des 3 postes, consultables sur lia.univ-avignon.fr rubrique Emplois, couvrent les thématiques du laboratoire :

- Informatique - Spécialité langage/recherche et extraction d'information  (Poste 0284 / Galaxie 4043)

- Informatique - Spécialité réseaux  (Poste 0334 / Galaxie 4045)

- Informatique - Spécialité recherche opérationnelle et optimisation (Poste 0324 / Galaxie 4044)

Contacts :

Enseignement : Corinne Fredouille corinne.fredouille@univ-avignon.fr - Directrice des Etudes du CERI et Fabrice Lefèvre fabrice.lefevre@univ-avignon.fr - Directeur du CERI

Recherche : Georges Linares georges.linares@univ-avignon.fr - Directeur du LIA et Fabrice Lefèvre fabrice.lefevre@univ-avignon.fr - Directeur du CERI

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6-27(2014-03-04) Speech Linguistic Project Manager - Google Speech Research, London, UK

Speech Linguistic Project Manager - Google Speech Research


Job title:

Speech Linguistic Project Manager


Location:

London, UK


Linguistic Field(s):

  • Phonetics/Phonology

  • Semantics

  • Discourse Analysis


Job description:

The
Speech Team at Google builds technologies to turn spoken input into
machine understandable format, or written text into spoken output. Our
technology is used to enable voice-based interactions in products like
Google Now, Voice Search, Dictation, Speech-to-Speech Translation,
Google Glass, and more.




As
a Linguistic Project Manager and a native-level speaker of French, you
will oversee and manage all work related to achieving high data quality
for speech projects in your own language.


You
will be part of a team based in London, managing a team of Data
Evaluators and working on a number of projects towards Speech research:
ASR, TTS, and NLP.


This includes:

  • training, managing and overseeing the work of your team

  • creating verbalisation rules, such as expanding URLs, email addresses, numbers

  • propose new projects to fulfill research needs for spoken languages around the world

  • creating annotation conventions

  • evaluating data quality

  • providing expertise on pronunciation and phonotactics

  • working with QA tools according to given guidelines and using in-house tools


Job requirements:

  • native-level speaker of French (with good command of the standard dialect) and fluent in English

  • must have attended elementary school in the country where the language is spoken

  • keen ear for phonetic nuances and attention to detail; knowledge of the language’s phonology

  • ability to quickly grasp technical concepts; should have an interest in current speech, mobile and online technology

  • excellent oral and written communication skills

  • good organizational skills

  • previous project management and people management experience

  • previous experience with speech/NLP-related projects a plus

  • advanced degree in Linguistics preferred; experience with Computational Linguistics a plus

  • also a plus: proficiency with HTML, XML, and some programming language; previous experience working in a Linux environment


Project duration: 6-11 months (with potential for extension)

**This is not a permanent position but a contract position.**


For
immediate consideration, please email your CV and cover letter in
English (PDF format preferred) with 'Speech Linguistic Project Manager
[French]' in the subject line.


Email Address for applications: DataOpsMan@gmail.com

Contact information: Ara Kim

Closing date: open until filled
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6-28(2014-03-04) Doctoral student position , Aalto University, Finland

Doctoral student position in an interdisciplinary speech technology project “Computational Modeling of Language Acquisition”

Job description:
The Speech Technology Team of Aalto University offers a full-time doctoral student position on computational modeling of language acquisition. Those who wish to do their master’s thesis on the topic and are willing to pursue post-graduate studies after their graduation are also welcome to apply.
The high-level goal of the research project is to understand how human children learn to understand and produce speech, and how computers could be programmed with similar learning skills in order to outperform the classical manually engineered speech recognition systems. In short-term, the focus is on the development of ecologically plausible computational models of different aspects of human language processing (perception, production, multimodal interactions) and evaluating these models with respect to data from behavioural studies. The research is simultaneously concerned with the development and application of low-level machine learning and signal processing algorithms and on the development of high-level models of language learning, making the work highly interdisciplinary, diverse and challenging.
The more specific content of the current position is not fixed in advance, but will be planned together with a successful applicant. The focus can be more on the technical side (machine learning/signal processing algorithm development), on the behavioural side (collecting and modelling behavioural data), or both.

Requirements:
Due to the interdisciplinary nature of the work, we are looking for an applicant with a strong background, skills and a burning interest in one or more of the following fields: speech/signal processing, auditory modeling, speech acoustics, machine learning, cognitive science, cognitive psychology, computational linguistics, artificial intelligence, or mathematics.
A successful applicant will have a M.Sc. (tech.) or an equivalent degree in a relevant field or has nearly completed the degree, has good programming skills (e.g., MATLAB, Java or C) and is a fluent user of English (both written and verbal). Capability for self-driven independent and productive work is a must. Basic or advanced knowledge in signal processing, machine learning, and/or statistics are a significant advantage.

Job details:
The current work will take place in a project Computational Modeling of Language Acquisition, funded by the Academy of Finland. The first contract will be a 6–month trial period for doctoral students or 6 months for the M.Sc. thesis work. Extension up to a total of 2.5 years is envisioned upon successful performance. The work will take place in the Department of Signal Processing and Acoustics of Aalto ELEC.

Salary:
Salary level will be based on the local-agreement salary system of Aalto University.

How to apply:
Please send your application to D.Sc. Okko Räsänen (okko.rasanen@aalto.fi) by email. The deadline for applications is 31.4.2014. Please include at least the following documents in your application: a cover letter describing your background and motivation for the position, CV, a transcript of bachelor and master’s level study records, and possible letters of recommendation.

For more information, please contact:
D.Sc. Okko RäsänenorProf. Unto K. Laine
okko.rasanen@aalto.fiunto.laine@aalto.fi
+358-50-441 9511+358-50-593 0251

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6-29(2014-03-04) Postdoctoral fellow in the area of phonetics, Max Planck Institute, Leipzig, Germany

Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany

 

Announcement of Vacancy

 

The Department of Linguistics at the Max Planck Institute in Leipzig has a vacancy for a postdoctoral fellow in the area of phonetics.

 

In order to understand the abstract structure underlying the movements of articulators involved in speech sound production, the department’s phonetics lab is developing methods aimed at detecting the coupling relations between the dynamical systems involved. This work is based on a variant of joint recurrence analysis which is compatible with the uncontrolled manifold theory of synergies in intentional dynamics. The methods will be applied to explore the abstract coupling links underlying the coordination between the behavior of the larynx and the behavior of oral articulators.

 

The successful candidate will be involved in the conceptual design and in the development of analytical tools. This includes the areas of joint recurrence analysis, recurrence network approaches, and procedures for building surrogate databases for testing the significance of the observed relations.

 

The one-year non-renewable position ends no later than May 31, 2015.

 

Prerequisites for an application are a PhD and knowledge of dynamical systems theory as well as of information theory (as shown by relevant publications or by his/her academic curriculum), with an interest in their application to real datasets. Programming skills (preferably Matlab or C++) are required. Knowledge of recurrence analysis methods and of Bayesian statistics is welcome.

 

The salary is according to the German public service pay scale (TVöD). The Max Planck Society is concerned to employ more disabled people; applications from disabled people are explicitly sought. The Max Planck Society wishes to increase the proportion of women in areas in which they are underrepresented; women are therefore explicitly encouraged to apply.

 

Applicants are requested to send their complete dossier (including curriculum vitae, description of research interests, names and contact details of two referees, and a piece of written work on one of the relevant topics) to:

 

Max Planck Institute for Evolutionary Anthropology

Personnel Department

Prof. Dr. Bernard Comrie

Code word: Postdoc Phonetics

Deutscher Platz 6

D-04103 Leipzig, Germany

 

Application will be received until the position is filled.

 

Please address questions to Dr. Sven Grawunder <grawunder@eva.mpg.de>.

Information on the institute is available at http://www.eva.mpg.de/.

 

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6-30(2014-03-05) PhD research fellowship at Université de Sherbrooke, Canada

 

Ver. 2014-03-03

Ph.D. project offer

Title

Development of speech coding algorithms inspired by the central auditory system

Description

The central auditory system has many characteristics that could foster the development of improved speech coders. The objective of this research project is to develop speech coding algorithms that are inspired by the central auditory system. This work will make use of the current knowledge in neural signal processing by the central auditory system as well as of several metrics developed for the objective evaluation of speech processing algorithms. It will allow the study of new paradigms that will lead to the development of novel speech coding algorithms. The research will be conducted jointly in the Speech and Audio Processing Laboratory and the Computational Neuroscience and Intelligent Signal Processing Research Group at the Université de Sherbrooke, Sherbrooke, Canada. A financial support is expected.

Requirements

Excellent academic record.

 Strong background in speech processing.

 Excellent ability to communicate in English. Knowledge of French is considered an advantage.

 Interest in neuroscience.

The Université de Sherbrooke is a French-speaking institution located in the province of Quebec, Canada, and the heart of an international research pole. It is host to more than 40 000 students from over 120 different countries worldwide. (Source: UdeS)

For more information: Eric Plourde, Eng., Ph.D.

Roch Lefebvre, Eng., Ph.D.

Department of Electrical and Computer Engineering

Department of Electrical and Computer Engineering

Faculty of Engineering

Faculty of Engineering

Université de Sherbrooke

Université de Sherbrooke

Sherbrooke, Quebec Canada

Sherbrooke, Quebec Canada

+819-821-8000, # 63255

eric.plourde@usherbrooke.ca

+819-821-8000, # 62134

roch.lefebvre@usherbrooke.ca

www.gel.usherbrooke.ca/plourde/english.html

www.usherbrooke.ca/gelecinfo/fr/departement/profs/lefr-en/

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6-31(2014-03-06) 1 postdoc and 1PhD at INRIA, Nancy, F
 
 
*** Postdoc #1
Post-doctoral Fellow - INRIA - Nancy, France
 
Title : Accurate 3D Lip modeling and control in the context of animating a 3D talking head
 
The goal of this work is to develop an accurate 3D lip model that can be integrated within a talking head. A control model will also be developed. The lip model should be as accurate dynamically as possible. When designing this model, the focus will be on the dynamics. For this reason, one can start from a static 3D lip mesh, using a generic 3D lip model, and then we will use MRI images or 3D scans to obtain more realistic shape of the lips. To take into account the dynamic aspect of the lip deformation, we will use an articulograph (EMA) and motion capture technique to track sensors or markers on the lips. The mesh will be adapted to this data. 
To control the lips, we will consider allowing a skeletal animation to be controlled by the EMA sensors or motion capture markers, using inverse kinematic technique, widely used in 3D modeling. In line with conventional skeletal animation, an articulated armature rigged inside the mesh is mapped to vertex groups on the lip mesh by a weight map that can be defined automatically from the envelope of the armature’s shape and manually adjusted if required, where manipulating the armature’s components deforms the surrounding mesh accordingly.
The main challenge is to find the best topology of the sensors or markers on the lips, to be able to better capture accurately its dynamics. The main outcome is to accurately model and animate the lips based on articulatory data. It is very important to have readable lips in that can be lip-read by hard-of-hearing people. 
 
 
For full description and to apply, please visit this website:
 
The applications will be considered as soon as received.
 
 
Slim Ouni
University of Lorraine
Parole - Inria Nancy -Grand Est
 
************************************************************
PhD #1
Position type: PhD Student - INRIA - Nancy, France

Title: Emotion modeling during expressive audiovisual speech
 
The goal of this thesis is to study the expressivity from articulatory and visual points of view. The articulatory and facial gestures will be characterized for the different sounds of speech (called phonemes) in the different expressive contexts. The goal is to determine how facial expressions interact with speech gesture (lips, tongue, face and acoustics), and how this is embedded within the phoneme articulation and their acoustic consequences. The quantification of the intensity of an expression during a given phoneme (or sequence of phonemes) articulation needs to be determined. One important objective of this work is to develop an expressive control model, which describes the interaction of the facial expressions with audiovisual speech.
 
To achieve these goals, two corpora will be acquired using electromagnetography (EMA) and motion capture techniques synchronously with acoustics. The EMA is the technique that uses electromagnetic sensors, glued on the tongue, teeth, lips and eventually the face, that represent 3D positions, and two angle orientations. We will use a marker-less motion capture that allows retrieving the dynamics of the face due to speech and expressivity. The corpora will cover sentences pronounced in several emotional contexts. These corpora provide the articulatory trajectories of the tongue and the lips in addition to the acoustic signal. The acquired data will be processed and analyzed, and the control model will be developed based on the results of this analysis.
 
For full description and to apply, please visit this website:
 
The applications will be considered as soon as received.
 
Slim Ouni
University of Lorraine
Parole - Inria Nancy -Grand Est
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6-32(2014-03-07) Post-doc position at LORIA (Nancy, France)

Post-doc position at LORIA (Nancy, France)

Framework of ANR project ContNomina

The technologies involved in information retrieval in large audio/video databases are often based on the analysis of large, but closed, corpora, and on machine learning techniques and statistical modeling of the written and spoken language. The effectiveness of these approaches is now widely acknowledged, but they nevertheless have major flaws, particularly for what concern proper names, that are crucial for the interpretation of the content.

In the context of diachronic data (data which change over time) new proper names appear constantly requiring dynamic updates of the lexicons and language models used by the speech recognition system.

As a result, the ANR project ContNomina (2013-2017) focuses on the problem of proper names in automatic audio processing systems by exploiting in the most efficient way the context of the processed documents. To do this, the postdoc student will address the contextualization of the recognition module through the dynamic adjustment of the language model in order to make it more accurate.

Post-doc subject

The language model of the recognition system (n gram learned from a large corpus of text) is available. The problem is to estimate the probability of a new proper name depending on its context. Several tracks will be explored: adapting the language model, using a class model or studying the notion of analogy.

Our team has developed a fully automatic system for speech recognition to transcribe a radio broadcast from the corresponding audio file. The postdoc will develop a new module whose function is to integrate new proper names in the language model.

Required skills

A PhD in NLP (Natural Language Processing), be familiar with the tools for automatic speech recognition, background in statistics and computer program skills (C and Perl).

Post-doc duration

12 months from June 2014 (these is some flexibility)

Localization

Loria laboratory, Speech team, Nancy, France

Contacts

Irina.illina@loria.frdominique.fohr@loria.fr

Candidates should email a letter of application, a detailed CV with a list of publications and diploma

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6-33(2014-03-07) MCF en informatique pour les Sciences Humaines, Université Paris Sorbonne.

Un poste de MCF en informatique pour les Sciences Humaines est ouvert à l'Université Paris Sorbonne. Le candidat enseignera l’Informatique dans les différentes formations de licence et de master du département d’Informatique, Mathématiques et de Linguistique appliquées. Il devra s'inscrire dans un ou plusieurs axes de l'équipe de linguistique computationnelle (www.stih.paris-sorbonne.fr/) : Sémantiques et connaissances, Paralinguistique de la parole et du texte, Jugements d’évaluation, opinions et sentiments.

Personne à contacter : Claude.Montacie@Paris-Sorbonne.fr

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6-34(2014-03-08) Senior Technical Engineer/Scientist (Software team Manager) at ELDA

The European Language resources Distribution Agency (ELDA), a company specialized in Human Language Technologies within an international context, acting as the distribution agency of the European Language Resources Association (ELRA), is currently seeking to fill an immediate vacancy for Senior Technical Engineer/Scientist (Software team Manager) position.

Under the supervision of the CEO, the responsibilities of the Senior Technical Engineer/Scientist include managing of a small development team, designing/specifying tools and software components for Language Resources, production frameworks and platforms, carrying out quality control and assessment. He/she will be in charge of renovating the current language resources production workflows. This yields excellent opportunities for young, creative, and motivated candidates wishing to participate actively to the Language Engineering field. He/she will be in charge of conducting the activities related to language resources and Natural Language Processing technologies. The task will mostly consist in managing language resources production projects and co-ordinating ELDA’s participation in R&D projects while being also hands-on whenever required by the development team.

Profile :

    Good knowledge of Linux and open source software
    Proficiency in Python, Django, PhP, Perl, CSS
    Proficiency in Django-CMS is a plus
    Good knowledge of e-commerce development (Python/Django-oriented)
    Proficiency in French and English
    Dynamic and communicative, flexible to combine and work on different tasks
    Experience with technology transfer projects, industrial projects,collaborative projects within the European Commission or other international frameworks
    Good knowledge of the Language Technology area is a plus
    Ability to work independently and as part of a team, in particular the ability to supervise members of a multidisciplinary team
    Citizenship of (or residency papers) a European Union country
    Applications will be considered until the position is filled. The position is based in Paris.

Salary : Commensurate with qualifications and experience.

Applicants should email a cover letter addressing the points listed above together with a curriculum vitae to :

Khalid Choukri
ELRA / ELDA
9, rue des Cordlières
75013 Paris
FRANCE
Fax : 01 43 13 33 30
Mail : job@elda.org


Please check out our other vacant positions:

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6-35(2014-03-08) PhD position in spoken dialogue systems research, Charles University, Prague, CZ
PhD position in spoken dialogue systems research
 
Applications are invited for a PhD fellowship in the area of statistical spoken dialogue systems funded by the Czech Government. The student will join the Institute of Formal and Applied Linguistics, Charles University in Prague, Czech Republic with an anticipated start date of October 1st, 2014.
 
Topic description: In recent years, it has been suggested that statistical approach to spoken dialogue system offer a framework to naturally handle inherent uncertainty in the human speech. The two main advantages of statistical methods are increased robustness in noisy conditions and more natural behaviour learnt from data. However, the current methods need large corpora effectively preventing these methods to be used for complex dialogue systems occurring in real-life. The successful PhD candidate will investigate and implement statistical models and methods with the aim of increasing the efficiency of the learning process and reducing the need for large corpora. The conducted research will cover areas of spoken language understanding, dialogue management, and natural language processing. 
 
Skills: The candidate should hold a master degree in a relevant area, such as computer science, mathematics, engineering  or linguistics. A strong mathematical background, excellent programming skills (e.g. C/C++, Java, MATLAB, and various scripting languages under Linux environment), aptitude for creative research and autonomy are expected. Experience in machine learning, Bayesian methods, and natural language processing is a plus.
 
The Institute of Formal and Applied Linguistics is a top-level research group working in the area of computational linguistics and natural language processing. During the fellowship, there will be good opportunities to attend international conferences and workshops. The formal applications should be submitted before June 1. Prospective candidates are strongly encouraged to contact Dr Filip Jurcicek (jurcicek@ufal.mff.cuni.cz) as soon as possible to obtain details about the application process, the institute, and the research opportunities. 
 
Additional information is available at https://ufal.mff.cuni.cz/filip-jurcicek/jobs.
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6-36(2014-03-12) Researchers in Speech and dialog at IKERBASQUE, Bilbao, Spain
Ikerbasque would like to inform you that we have launched a new international call to reinforce research and scientific career in the Basque Country. We offer:
 
 
·          25 positions for Promising Researchers Ikerbasque Research Fellows  
o    5 year contracts
o    PhD degree between Jan2004-Dec2011
o    Support letter from the host group is mandatory
o    Deadline: March 31st at 13:00 CET
 
For further information, use this link: www.ikerbasque.net
 
We would appreciate your help in disseminating this information, in case you know about any colleague that could be interested and meets the requirements of the call.
 
 
 
IKERBASQUE
Basque Foundation for Science

Professor M. Inés Torres
PR&Speech Technology
Dpto. Electricidad y Electrónica
Fac. Ciencia y Tecnología - UPV/EHU
Apdo. 644 - 48080 Bilbao (Spain)
Phone: +34 94 601 2715
e_mail: manes.torres@ehu.es


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