29.2574, Jobs: Computational Linguistics; Semantics; Syntax: Post Doc, Queen Mary University of London

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LINGUIST List: Vol-29-2574. Mon Jun 18 2018. ISSN: 1069 - 4875.

Subject: 29.2574, Jobs: Computational Linguistics; Semantics; Syntax: Post Doc, Queen Mary University of London

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Date: Mon, 18 Jun 2018 13:06:08
From: Massimo Poesio [m.poesio at qmul.ac.uk]
Subject: Computational Linguistics; Semantics; Syntax: Post Doc, Queen Mary University of London, United Kingdom

 
University or Organization: Queen Mary University of London 
Department: Computational Linguistics Lab, School of Electronic Engineering and Computer Science
Job Location: London, United Kingdom 
Web Address: http://compling.eecs.qmul.ac.uk/
Job Title: Research Assistant
Job Rank: Post Doc

Specialty Areas: Computational Linguistics; Semantics; Syntax 


Description:

3 years Postdoctoral Position on the (Computational) Linguistics of
Anaphora/Coreference and Anaphoric Ambiguity 

Applications are invited from outstanding computational linguists / NLP
researchers combining an excellent background in theoretical linguistics (in
particular semantics) with demonstrated exciting research skills in the use of
machine learning methods for NLP/CL , for a three-year Postdoctoral Research
Assistant position in DALI, a project funded by the European Research Council
(ERC) on using games-with-a-purpose to collect very large datasets to support
research in the linguistics and interpretation of anaphoric
expression/coreference.

The main responsibility of the post will be analyzing the data about anaphora
and anaphoric ambiguity already collected using the Phrase Detectives game
(over 4.5 million judgments) and those that will be collected through a range
of games under development, identifying the main sources of disagreement among
our players, and use the insights thus obtained to push forward our
understanding of the linguistics of anaphora and the state of the art in
computational modelling of anaphora resolution. The chosen candidate will also
be expected to provide input in the development of new games so as to improve
the quality of the data collected. He/she will lead and co-author a range of
outputs of the project; and contribute to the dissemination of research
findings to a range of stakeholders and audiences.

The successful candidate will hold a PhD with a focus on computational
linguistics / NLP, theoretical linguistics, or machine learning for NLP. A
strong background in theoretical linguistics in general and semantics in
particular, ideally with a focus on anaphora, is essential. Demonstrable
skills in using computational and machine learning methods to analyse large
amounts of linguistic data and developing computational models of
semantic/discourse interpretation (ideally, anaphora resolution or
coreference), also essential.

Strong programming skills, particularly in languages used in CL/NLP such as
Python, Perl, Java, R. Familiarity with languages for building NNs such as
Tensor Flow a definite plus. The candidate is also expected to have excellent
analysis and abstraction skills, and an interest in working in a research
environment.
 
The positions will be funded by the ERC Advanced Grant DALI; Details can be
found at http://dali.eecs.qmul.ac.uk/

The successful candidate will join a team based in the Cognitive Science
Research Group at Queen Mary University of London (see web address) but also
including collaborators from the Games and AI research group at QMUL and from
the Language and Computation Group at the University of Essex.

This is a full time post for 3 years or until 31 Aug 2021 (whichever is the
shorter) starting 1 September 2018 or as soon as feasible after this date. The
starting salary will be £36,677 -£43,152 per annum inclusive of London
allowance. Benefits include 30 days annual leave, defined benefit pension
scheme and interest-free season ticket loan.

Candidates must be able to demonstrate their eligibility to work in the UK in
accordance with the Immigration, Asylum and Nationality Act 2006. Where
required this may include entry clearance or continued leave to remain under
the Points Based Immigration Scheme. 

Informal enquiries should be addressed to Massimo Poesio at the below contact
email. For more information and how to apply, please visit the application
link below.



Application Deadline: 30-Jun-2018 
	  
Web Address for Applications: https://webapps2.is.qmul.ac.uk/jobs/job.action?jobID=3294 
Contact Information:
	Massimo Poesio 
	Email: m.poesio at qmul.ac.uk 


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