[Corpora-List] Research Positions (MT, Parsing, IR/E, Text Analytics, NLP) - CNGL at DCU **Deadline Reminder 15th FEB 2013**

Declan Groves dgroves at computing.dcu.ie
Thu Feb 7 15:01:25 CET 2013


As a reminder the closing date for applications is 15th FEBRUARY 2013.

Please share with any interested parties. Apologies for cross-postings.

-------------------------- 16 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 --------------------------

http://www.cngl.ie/vacancies.html

At the Centre for Next Generation Localisation (CNGL, www.cngl.ie) at Dublin City University (DCU), Ireland, we are recruiting 12 PhDs, 3 Post-Doctoral Researchers and 1 Research Programmer (1 position). 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.

Interoperability and Analytics: [PhD_IA_1] Rule-based Configuration of Content Processes

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/vacancies.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] - Dr. Claus Pahl <cpahl at computing.dcu.ie> [PhD_IA_1]



More information about the Corpora mailing list