30.1133, Support: Computational Linguistics: PhD, University of Edinburgh

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LINGUIST List: Vol-30-1133. Wed Mar 13 2019. ISSN: 1069 - 4875.

Subject: 30.1133, Support: Computational Linguistics: PhD, University of Edinburgh

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Date: Wed, 13 Mar 2019 18:03:02
From: Frank Keller [keller at inf.ed.ac.uk]
Subject: Computational Linguistics: PhD, University of Edinburgh, UK

 Institution/Organization: University of Edinburgh 
Department:  
Web Address: https://edinburghnlp.inf.ed.ac.uk/cdt/ 

Level: PhD 

Duties: Research
 
Specialty Areas: Computational Linguistics 
 

Description:

FULLY FUNDED FOUR-YEAR PHD STUDENTSHIPS
UKRI CENTRE FOR DOCTORAL TRAINING IN NATURAL LANGUAGE PROCESSING
School of Informatics
School of Philosophy, Psychology and Language Sciences
University of Edinburgh

UK Research and Innovation has recently announced funding for a Centre for
Doctoral Training in Natural Language Processing (CDT in NLP) at the
University of Edinburgh. This CDT offers unique, tailored research training
consisting of taught courses and a doctoral dissertation. Both components run
concurrently over four years. Each student will take a set of courses tailored
to their research training needs. They will received full funding for four
years, plus generous funding for travel, equipment, and research costs.

The CDT brings together researchers in NLP, speech, linguistics, cognitive
science, and design informatics from across the University of Edinburgh.
Students will be supervised by over 40 world-class faculty (Edinburgh has the
most productive NLP group in the world, csrankings.org) and will benefit from
cutting edge computing and experimental facilities, including a large GPU
cluster and eye-tracking, speech, virtual reality, and visualization labs. The
CDT involves over 20 industrial partners, including Amazon, Facebook, Huawei,
Microsoft, Mozilla, Reuters, Toshiba, and the BBC. Close links also exist with
the Alan Turing Institute and the Bayes Centre.

The first cohort of CDT students will start in September 2019, and we are now
seeking applications. A wide range of research topics fall within the remit of
the CDT:
- Natural language processing and computational linguistics
- Speech technology
- Dialogue, multimodal interaction, language and vision
- Information retrieval and visualization, computational social science
- Computational models of human cognition and behavior, including language and
speech processing 
- Human-Computer interaction, design informatics, assistive and educational
technology 
- Psycholinguistics, language acquisition, language evolution, language
variation and change
- Linguistic foundations of language and speech processing

Approximately 8 studentships are available, covering both maintenance at the
research council rate of GBP 15,009 per year and tuition fees. Studentships
are available for UK, EU, and non-EU nationals.

Applicants should have a strong undergraduate degree in computer science,
linguistics, cognitive science, AI, or a related discipline.

Details regarding the CDT training program and the application procedure can
be found at:
http://www.edinburghnlp.org/cdt/

Please apply by 29 March 2019 to ensure full consideration (though we may be
able to consider late applications). Please direct inquiries to the PhD
admissions team at cdt-nlp-admissions at inf.ed.ac.uk.
 

Application Deadline: 29-Mar-2019 

Web Address for Applications: https://edinburghnlp.inf.ed.ac.uk/cdt/apply/ 

Contact Information: 
	Dr Adam Lopez 
	cdt-nlp-admissions at inf.ed.ac.uk  


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