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, 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
<http://www.sheffield.ac.uk/dcs>, at the University of Sheffield
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.
Apply now: https://slt-cdt.ac.uk/apply/
* 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.
* A full-time PhD with Integrated Postgraduate Diploma (PGDip)
incorporating 6 months of foundational SLT 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).
University of Sheffield
We are looking for students from a wide range of backgrounds interested
in Speech and Language Technologies.
* 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.
* Candidates must satisfy the UKRI funding eligibility criteria.
Students must have settled status in the UK and have been
?ordinarily resident? in the UK for at least 3 years prior to the
start of the studentship. Full details of eligibility criteria can
be found on our website.