[Corpora-List] Deadline approaching: PhD studentship in Compositional Distributional Natural Language Semantics

Matthew Purver m.purver at qmul.ac.uk
Fri Jun 14 14:18:04 UTC 2013


DEADLINE APPROACHING - 30th June 2013. Please note nationality/residency requirements 
changed since first advertised - see below.

Applications are invited for a PhD Studentship starting in September 2013 to 
undertake research in the emerging field of compositional distributional semantics.

The student will be based in the School of Electronic Engineering and Computer 
Science (www.eecs.qmul.ac.uk) at Queen Mary, University of London, and will be a 
member of both the Theoretical Computer Science (http://theory.eecs.qmul.ac.uk/) and 
Cognitive Science Groups (http://cogsci.eecs.qmul.ac.uk/) which have world-leading 
reputations for fundamental theoretical work and artificial intelligence, with 
practical impact in creating robust reliable software (http://monoidics.com/) and 
analysing social media (http://chatterbox.co/).

This studentship, funded by a Queen Mary EPSRC Doctoral Training Account and an EPSRC 
Career Acceleration Fellowship is for 3.5 years and will cover student fees and a 
tax-free stipend starting at £15,590 per annum. Applicants must be EU nationals or UK 
residents. Candidates should have a first class honours degree or equivalent, or a 
strong Masters Degree, in Computer Science or a related field, preferably with some 
experience in linear algebra, programming, and/or computational linguistics, and 
logic. Full details of the topic and studentship conditions and application procedure 
can be found here:

http://www.jobs.ac.uk/job/AGM011/phd-studentship/

Please contact Dr Mehrnoosh Sadrzadeh <Mehrnoosh.Sadrzadeh at eecs.qmul.ac.uk> or Dr 
Matthew Purver <Matthew.Purver at eecs.qmul.ac.uk> if you would like to know more, or 
have any queries about how to apply.

-- 
Matthew Purver - http://www.eecs.qmul.ac.uk/~mpurver/

Lecturer / Postgraduate Admissions Tutor

Cognitive Science Research Group
School of Electronic Engineering and Computer Science
Queen Mary, University of London, London E1 4NS, UK

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