ISCApad Archive » 2020 » ISCApad #262 » Jobs » (2019-10-18) FULLY FUNDED FOUR-YEAR PHD STUDENTSHIPS, University Edingurgh, Scotland |
ISCApad #262 |
Tuesday, April 14, 2020 by Chris Wellekens |
FULLY FUNDED FOUR-YEAR PHD STUDENTSHIPS UKRI CENTRE FOR DOCTORAL TRAINING IN NATURAL LANGUAGE PROCESSING at the University of Edinburgh?s School of Informatics and School of Philosophy, Psychology and Language Sciences. Applications are now sought for the CDT?s second cohort of students to start in September 2020 Deadlines: 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:
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 (https://www.ukri.org/skills/funding-for-research-training , currently £15,009 per year) and 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 29th November 2019 (non EU/UK) or 31st January 2020 (EU/UK). CDT in NLP Open Days
Enquiries can be made to the CDT admissions team at cdt-nlp-info@inf.ed.ac.uk |
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