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

[Declan Groves]

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]

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