bourses et poste à DCU, Dublin

Le centre for next generation localisation, associé à Dublin City University, ouvre 15 postes de recherche (bourses de thèse, bourses post-doctorales, assistant de recherche) dans les domaine de la traduction automatique, recherche d'information, extraction d'information, parsing. Date limite 15 février.

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 teams 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]