Postdoctoral Research Assistant

Queen Mary University of London - School of Electronic Engineering and Computer Science

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 (http://cogsci.eecs.qmul.ac.uk/) 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 (m.poesio@qmul.ac.uk).

To apply, please visit the Human Resources website on: http://www.jobs.qmul.ac.uk and search for reference QMUL14746.

The closing date for applications is 30 June 2018. Interviews are expected to be held shortly thereafter.

Valuing Diversity & Committed to Equality.

QMUL is proud to be a London Living Wage Employer.

Share this job
     
  Share by Email   Print this job   More sharing options
We value your feedback on the quality of our adverts. If you have a comment to make about the overall quality of this advert, or its categorisation then please send us your feedback
Advert information

Type / Role:

Location(s):

London