| | 15 RESEARCH POSITIONS (PhD, Post-Doc and Research Programmer) IN
MACHINE TRANSLATION, PARSING, INFORMATION RETRIEVAL, INFORMATION
EXTRACTION AND TEXT ANALYTICS AT CNGL, DCU. CLOSING DATE 15th FEBRUARY
2013
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At the Centre for Next Generation Localisation (CNGL, www.cngl.ie) at
Dublin City University (DCU), Ireland, we are recruiting 11 PhDs, 3
Post-Doctoral Researchers and 1 Research Programmer (1 position).
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CNGL is a €50M+ Academia-Industry partnership, funded jointly by
Science Foundation Ireland (SFI) and our industry partners, and is
entering its second cycle of funding. CNGL is looking to fill multiple
posts associated with its second phase which will focus on expansion
of our work into the challenging areas of social text sources and
multimedia content.
CNGL is an active collaboration between researchers at Dublin City
University (DCU), Trinity College Dublin (TCD), University College
Dublin (UCD), University of Limerick (UL), as well as 10 industrial
partners, including SMEs, Microsoft, Symantec, Intel, DNP, and
Welocalize.
CNGL comprises over 100 researchers across the various institutions
developing novel technologies addressing key challenges in the global
digital content and services supply chain. CNGL is involved in a large
number of European FP7 projects, as well as commercial projects in the
areas of language technologies, information retrieval and digital
content management. CNGL provides a world class collaborative research
infrastructure, including excellent computing facilities, and
administrative, management and fully integrated and dedicated on-site
commercialisation support.
The successful candidates will become part of the research team based
at DCU, joining two leading academic MT/NLP/IR and Translation
research groups (www.nclt.dcu.ie/, cttsdcu.wordpress.com/). The team’s
location at DCU, minutes from Dublin city centre, offers a highly
conducive environment for research, collaboration and innovation with
a wealth of amenities on campus.
DCU is ranked in the TOP 50 of young universities worldwide (under 50
years old) (QS Ranking) and in the TOP 100 under the Times Higher
Education (under 50 years) ranking scheme.
The research is supervised by Dr. Jennifer Foster, Dr. Sharon O'Brien,
Dr. Gareth Jones, Prof. Qun Liu and Prof. Josef van Genabith.
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--* CNGL PHD STUDENSHIPS AT DCU *--
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Parsing, Analytics and Information Extraction:
[PhD_CC_1] Tuning Text Analytics to User-Generated Content: Parse
quality estimation and targeted self-training.
[PhD_CC_2] Extracting Events and Opinions from User-Generated Content:
Deep parsing-based methods.
Information Retrieval:
[PhD_SD_1] Self-Managing Information Retrieval Technologies: Query,
search technique and parameter selection in information retrieval
applications
[PhD_SD_2] Indexing and Search for Multimodal (Spoken/Visual) Content:
Locating relevant content in multimodal sources
[PhD_SDCC_1] Application of Text Analytics in Information Retrieval:
Enhancing information retrieval using features from text analysis
[PhD_SDDI_1] Investigating Human-Computer Interaction Issues for
Search and Discovery with Multimodal (spoken/Visual) Content
Machine Translation:
[PhD_TL_1] Syntax- and Semantics-Enhanced Machine Learning Based MT
[PhD_TL_2] Domain Adaptation Based on Multi-Dimensional Quality
Estimation, Similarity Metrics, Clustering and Search
[PhD_TL_3] Human interaction with MT output: Usability, Acceptability,
Post-editing Research
[PhD_TLDI_1] MT and Multimodal Interaction
[PhD_TLSD_1] MT for Multimodal Cross Language Information Retrieval
Ideal candidates for the PhD studentships (except PhD_TL_3 - see
below) should have:
- excellent computing and mathematical skills
- strong machine learning and statistical skills
- strong interest in basic research, applied research and showcasing
research in demonstrator systems
- willingness to work as a team, but also be able to work on their initiative
- strong ability in independent and creative thinking
- strong problem-solving skills
- excellent communication abilities (including writing and
presentation skills)
- proficiency in English
- a background in NLP, Computational Linguistics, Information
Retrieval, Information Extraction or Machine Translation as
appropriate for the relevant position is an advantage
Ideal candidates for the PhD studentship PhD_TL_3 (human interaction
with MT output: Usability, Acceptability, Post-editing Research)
should have:
- excellent skills in empirical research in translation, technical
communication and/or HCI
- strong interest in basic research, applied research and showcasing
research in demonstrator systems
- willingness to work as a team, but also be able to work on own initiative
- strong ability in independent and creative thinking
- strong problem-solving skills
- excellent communication abilities (including writing and
presentation skills)
- high proficiency in English
- a background in Translation, NLP, Computational Linguistics, or
Machine Translation is an advantage
PhD positions are fully funded for 3 years. Stipend: Fees + €16,000
p.a. living expenses (tax free)
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--* POST-DOCTORAL POSITIONS *--
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Parsing, Analytics and Information Extraction:
[PD_CC_1] Extracting Events and Opinions from User-Generated Content:
Parsing-based deep methods (up to 2 year contract)
[PD_CC_2] Extracting Events and Opinions from UGC: Shallow methods,
including unsupervised methods (up to 2.5 year contract)
Machine Translation:
[PD_TL_1] User/Human Centric MT (up to 2.5 year contract)
Ideal candidates for the post-doctoral positions should have:
- a strong international publication record
- a background in NLP, Computational Linguistics, Information
Retrieval, Information Extraction or Machine Translation as
appropriate for the position
- excellent computing and mathematical skills
- strong machine learning and statistical skills
- strong interest in basic research, applied research and showcasing
research in demonstrator systems
- willingness to work as a team, but also be able to work on their
own initiative
- strong ability for independent and creative thinking
- strong problem-solving skills
- excellent communication abilities (including writing and
presentation skills)
- proficiency in English
- ability to identify and develop future research and funding initiatives
- willingness to supervise and assist undergraduate and postgraduate students
- ability to lead small teams of researchers, in co-operation with
the principal investigator
Indicative starting salary (subject to experience and qualifications):
€37,750 - €42,394 (taxable)
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--* RESEARCH PROGRAMMER POSITIONS *--
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[RProg_CC_1] Research Programmer (up to 2.5 year contract)
Parsing, Analytics and Information Extraction:
Candidates for the researcher programmer position will have:
- strong computer engineering and design skills
- excellent knowledge of one or more of the following: Java, C++, PHP, Python
- comfortable working in both UNIX and Windows environments
- excellent algorithmic and analytical skills
- candidates will hold an MSc/PhD in Computer Science/Software Engineering
- excellent communication abilities
- willingness to work as part of a team, but also be able to work on
your own initiative
- experience in Natural Language Processing, Artificial
Intelligence, Information Retrieval, Localisation etc. would be highly
advantageous
- experience with research-based software development and/or
cloud-based and grid computing technologies is also highly preferred
Indicative Salary (subject to experience and qualifications):
€37,750 - €42,394 (taxable)
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**CLOSING DATE FOR APPLICATIONS ALL POSITIONS: 15th FEBRUARY 2013**
For more details please see: http://www.cngl.ie/vancancies.html
Application forms are available from:
http://www.dcu.ie/vacancies/APPLICATION_FORM_8pg.doc. Please also send
a CV with two contact points for references. When completing your
application, please indicate which positions you are applying for (in
order of preference) e.g. [PHD_TL_1], [PHD_TL_2]. Completed
application forms should be sent to Dr. Declan Groves
.
*For informal enquiries please contact the relevant PI below*:
- Dr. Jennifer Foster [PhD_CC_1]
- Prof. Josef van Genabith
[PhD_CC_2],[PD_CC_1],[PD_CC_2],[RProg_CC_1]
- Dr. Gareth Jones [PhD_SD_1],
[PhD_SD_2], [PhD_SDCC_1], [PhD_SDDI_1]
- Prof. Qun Liu [PhD_TL_1], [PhD_TL_2],
[PhD_TLDI_1], [PhD_TLSD_1], [PD_TL_1]
- Dr. Sharon O'Brien [PhD_TL_3] |
