30.3887, Support: Computational Linguistics: PhD, University of Edinburgh

[The LINGUIST List]

LINGUIST List: Vol-30-3887. Mon Oct 14 2019. ISSN: 1069 - 4875.

Subject: 30.3887, Support: Computational Linguistics: PhD, University of Edinburgh

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Date: Mon, 14 Oct 2019 13:55:03
From: Frank Keller [keller at inf.ed.ac.uk]
Subject: Computational Linguistics: PhD, University of Edinburgh, UK

 Institution/Organization: University of Edinburgh 
Department: UKRI Centre for Doctoral Training in NLP 
Web Address: https://edinburghnlp.inf.ed.ac.uk/cdt/ 

Level: PhD 

Duties: Research
 
Specialty Areas: Computational Linguistics 
Natural Language Processing 

Description:

Fully Funded Four-year PhD Studentships
Based at the University of Edinburgh: in conjunction with School of
Informatics and School of Philosophy, Psychology and Language Sciences.

Deadlines:
- Non EU/UK: 29th November 2019
- EU/UK: 31st January 2020

Applications are now sought for the CDTs second Cohort of students to start in
September 2020.

The CDT in NLP offers unique, tailored doctoral training comprising both
taught courses and a doctoral dissertation. Both components run concurrently
over four years.
Each student will take a set of courses designed to complement their existing
expertise and give them an interdisciplinary perspective on NLP. They will
receive full funding for four years, plus a generous allowance 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 a team of over 40 world-class faculty and will
benefit from cutting edge computing and experimental facilities, including a
large GPU cluster and eye-tracking, speech, virtual reality and visualisation
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.

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 behaviour, 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

The second cohort of CDT students will start in September 2020 and is now open
to applications.

Around 12 studentships are available, covering maintenance at the research
council rate- (currently GBP 15,009 per year) plus tuition fees. Studentships
are available for UK, EU and non-EU nationals. Individuals in possession of
other funding scholarships or industry funding are also welcome to apply,
please provide details of your funding source on your application.

Applicants should have an undergraduate or master's degree in computer
science, linguistics, cognitive science, AI, or a related discipline. We
particularly encourage applications from women, minority groups and members of
other groups that are underrepresented in technology.

Further details including the application procedure can be found at:
https://edin.ac/cdt-in-nlp

Application Deadlines:
In order to ensure full consideration for funding, completed applications
(including all supporting documents) need to be received by: 29th November
2019 (non EU/UK) or 31st January 2020 (EU/UK).

CDT in NLP Open Days:
Find out more about the programme by attending the PG Open Day at the School
of Informatics or by joining one of the CDT in NLP Virtual Open Days:

PG Open Day: 13th November 2019
register via
https://www.ed.ac.uk/studying/postgraduate/open-days-events-visits/open-days/p
rogramme

Virtual Open Day: 14th November 2019
register via https://www.eventbrite.co.uk/e/75139952621

Virtual Open Day: 9th January 2020
register via https://www.eventbrite.co.uk/e/75163007579

Any enquiries, please direct them to the CDT admissions team at:
cdt-nlp-info at inf.ed.ac.uk.
https://www.ukri.org/skills/funding-for-research-training/
 

Application Deadline: 31-Jan-2020 

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

Contact Information: 
	Ms Sally Galloway 
	cdt-nlp-info at inf.ed.ac.uk  


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