Fully-funded PhDs in Speech and Language Technologies at the University of Sheffield

SLT logo

Open to Computer Science Students

** Applications now open for September 2021 intake **

Deadline for applications: 31 January 2021.

Speech and Language Technologies (SLTs) are a range of Artificial Intelligence (AI) approaches which allow computer programs or electronic devices to analyse, produce, modify or respond to human texts and speech. SLTs are underpinned by a number of fundamental research fields including natural language processing (NLP / NLProc), speech processing, computational linguistics, mathematics, machine learning, physics, psychology, computer science, and acoustics. SLTs are now established as core scientific/engineering disciplines within AI and have grown into a world-wide multi-billion dollar industry.

Located in the Department of Computer Science at the University of Sheffield – a world leading research institution in the SLT field – the UKRI Centre for Doctoral Training (CDT) in Speech and Language Technologies and their Applications is a vibrant research centre that also provides training in engineering skills, leadership, ethics, innovation, entrepreneurship, and responsibility to society.

The benefits:

  • Four-year fully-funded studentship covering fees and an enhanced stipend (£17,000 pa)
  • Generous personal allowance for research-related travel, conference attendance, specialist equipment, etc.
  • A full-time PhD with Integrated Postgraduate Diploma (PGDip) incorporating 6 months of foundational speech and NLP training prior to starting your research project
  • Bespoke cohort-based training programme running over the entire four years providing the necessary skills for academic and industrial leadership in the field.
  • Supervision from a team of 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 with interests in SLTs and their application
  • Every PhD project is underpinned by a real-world application, directly supported by one of our industry partners.
  • A dedicated CDT workspace within a collaborative and inclusive research environment hosted by the Department of Computer Science
  • 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 UK university cities (WhatUni? 2019).

About you:

We are looking for students from a wide range of backgrounds interested in speech and NLP.

  • High-quality (ideally first class) undergraduate or masters (ideally distinction) degree in a relevant discipline. Suitable backgrounds include (but are not limited to) computer science/software engineering; informatics; AI; speech and language processing; mathematics; physics; linguistics; cognitive science; and engineering.
  • Regardless of background, you must be able to demonstrate strong mathematical aptitude (minimally to A-Level standard or equivalent) and experience of programming.
  • We particularly encourage applications from groups that are underrepresented in technology.
  • The majority of candidates must satisfy UKRI’s updated funding eligibility criteria for ‘home’ students. Full details can be found on our website.

Applying:

Applications are now sought for the September 2021 intake. The deadline is 31 January 2021.

Applications will be reviewed within 6 weeks of the deadline and short-listed applicants will be invited to interview. Interviews will be held in Sheffield or via videoconference.

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

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

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