The doctoral training centre, hosted within the Department of Computer Science, at the University of Sheffield, will be a world-leading hub for training scientists and engineers in speech and language technologies (SLT) – two core areas within artificial intelligence (AI) which are experiencing unprecedented growth and will continue to do so over the next decade.
CDT Students will be part of a vibrant centre for cutting edge research.
Our training programme is unlike any other PhD programme. In addition to the Doctorate of Philosophy (PhD), you will also complete a Postgraduate Diploma (PGDip) in SLT Leadership. This bespoke and unique programme will provide the necessary skills for academic and industrial leadership in the field, based on elements covering software engineering, entrepreneurship, management, and societal responsibility, aside from training in core SLT skills.
Applicants should have, or be expecting to obtain, a high-quality (ideally first class) undergraduate or masters (ideally distinction) degree in a relevant discipline. Suitable backgrounds are (but not limited to) computer science; informatics; AI; speech and language processing; mathematics; and software engineering. We will also consider applicants with a professional background, so long as they are able to provide evidence of demonstrable academic skills as well as practical experience.
CDT studentships fund four years of study, covering the annual university fees, and providing a highly competitive stipend. See website for further details and eligibility.
Google, Amazon, VoiceBase, Microsoft Research Ltd, Nuance Communications UK Limited, MapR Technologies, ZOO Digital Group plc, Emotech Ltd, Scribetech (UK) Ltd, FACTMATA, Ieso Digital Health Ltd, ITSLanguage, M*Modal Technologies, Inc, Ontotext, Record Sure limited, SOLVAY, Tech Nation, TherapyBox, gweek Limited, Signal Media Ltd, Textio, NHS Digital (previously HSCIC), OCLC, TribePad, SoapBox Labs Ltd., Jam Creative Studios, Netcall Telecom Limited.
Applications for the 2019 cohort (starting September 2019) should be made to a PhD project advertised on our CDT website or FindaPhD.com. Applications will be assessed and allocated on a first-come-first-served basis with the aim of notifying applicants within 2-4 weeks. We expect admissions to close at the end of May 2019.