Job: 15 Research Positions (MT, Parsing, IR/E, Text Analytics, NLP) at CNGL at DCU, App. Deadline Feb 15th, 2013
Thierry Hamon
thierry.hamon at UNIV-PARIS13.FR
Sat Feb 2 19:45:18 UTC 2013
Date: Wed, 30 Jan 2013 17:24:40 +0000
From: Declan Groves <dgroves at computing.dcu.ie>
Message-ID: <CAOi_1PY-uC7r+881_z7--Fbrvyk5=LEXHKFAYd2YUdHMcaAMyg at mail.gmail.com>
X-url: http://www.cngl.ie/vancancies.html
X-url: http://www.dcu.ie/vacancies/APPLICATION_FORM_8pg.doc
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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
-------------
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).
-------------
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.
-----------------------------------
--* CNGL PHD STUDENSHIPS AT DCU *--
-----------------------------------
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)
-------------------------------
--* POST-DOCTORAL POSITIONS *--
-------------------------------
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)
-------------------------------------
--* RESEARCH PROGRAMMER POSITIONS *--
-------------------------------------
[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)
-------------
**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
(dgroves at computing.dcu.ie).
*For informal enquiries please contact the relevant PI below*:
- Dr. Jennifer Foster (jfoster at computing.dcu.ie) [PhD_CC_1]
- Prof. Josef van Genabith (josef at computing.dcu.ie) [PhD_CC_2],
[PD_CC_1], [PD_CC_2], [RProg_CC_1]
- Dr. Gareth Jones (gjones at computing.dcu.ie) [PhD_SD_1], [PhD_SD_2],
[PhD_SDCC_1], [PhD_SDDI_1]
- Prof. Qun Liu (qliu at computing.dcu.ie) [PhD_TL_1], [PhD_TL_2],
[PhD_TLDI_1], [PhD_TLSD_1], [PD_TL_1]
- Dr. Sharon O'Brien (sobrien at computing.dcu.ie) [PhD_TL_3]
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