LINGUIST List 30.3887
Mon Oct 14 2019
Support: Computational Linguistics: PhD, University of Edinburgh
Editor for this issue: Becca Morris <beccalinguistlist.org>
Frank Keller <keller
Computational Linguistics: PhD, University of Edinburgh, UK E-mail this message to a friend
Department: UKRI Centre for Doctoral Training in NLP
Web Address: https://edinburghnlp.inf.ed.ac.uk/cdt/
Institution/Organization: University of Edinburgh
Specialty Areas: Computational Linguistics
Natural Language Processing
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.
- 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
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/programme
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
Applications Deadline: 31-Jan-2020
Web Address for Applications: https://edinburghnlp.inf.ed.ac.uk/cdt/apply/
Ms Sally Galloway
Page Updated: 14-Oct-2019