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UKRI Centre for Doctoral Training in Speech and Language Technologies and Their Applications

UKRI Centre for Doctoral Training (CDT) in Speech and Language Technologies (SLT) and their Applications

Up to 13 fully-funded 4-year PhD studentships commencing in September 2022

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 natural language processing (NLP / NLProc) – two core areas within artificial intelligence (AI) which are experiencing unprecedented growth and will continue to do so over the next decade.

Our training programme is unlike any other PhD programme. Our PhD with Integrated Postgraduate Diploma (PGDip) in SLT Leadership provides the necessary skills for academic and industrial leadership in the field, based on elements covering core SLT skills, ethics, innovation, entrepreneurship, management, and societal responsibility.

The SLT CDT offers our students the following benefits:

  • Four-year fully-funded studentship covering all fees and an enhanced stipend (£17,000 pa).
  • Generous personal allowance for research-related travel, conference attendance, specialist equipment, etc.
  • Bespoke cohort-based training programme running over the entire four years incorporating 6 months of foundational SLT training prior to starting your research project.
  • Every PhD project underpinned by a real-world application, directly supported by one of over 30 industry partners with internship option.
  • Supervision from over 20 internationally leading SLT researchers, covering all core areas of modern SLT research, and a broader pool of over 50 academics in cognate disciplines.
  • Work and live in Sheffield - a cultural centre on the edge of the Peak District National Park which is in the top 10 most affordable and safest UK university cities.

Entry requirements

  • 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 include (but not limited to) computer science, informatics, linguistics, speech and language processing, mathematics, cognitive science, AI, and physics.
  • Applicants must be able to demonstrate mathematical aptitude (minimally to A-Level standard or equivalent) and good experience of programming.
  • We particularly encourage applications from groups that are underrepresented in technology.
UKRI Centre for Doctoral Training in Speech and Language Technologies and Their Applications

Core partners

Google, Amazon, VoiceBase, Microsoft, Nuance, MapR Technologies, ZOO Digital, Emotech, Scribetech, FACTMATA, Ieso Digital Health, ITSLanguage, 3M, Ontotext, RecordSure, SOLVAY, TechNation, TherapyBox, gweek, Signal A.I., Textio, NHS Digital, OCLC, TribePad, SoapBox Labs, Jam Creative Studios, Netcall Telecom.

Applying

Applications for the September 2022 intake will open in Autumn.

See our website for full details and guidance on how to apply:
slt-cdt.ac.uk

UKRI Centre for Doctoral Training in Speech and Language Technologies and Their Applications

For an informal discussion about your application please contact us by email at:
sltcdt-enquiries@sheffield.ac.uk.

By contacting sltcdt-enquiries@sheffield.ac.uk you consent to being contacted by the University of Sheffield. You are free to withdraw your permission in writing at any time.