Connectionists: Fully-funded PhD studentships in Speech and NLP at the University of Sheffield, UK

[Stuart Wrigley]

*UKRI Centre for Doctoral Training (CDT) in Speech and Language
Technologies (SLT) and their Applications *
*Fully-funded 4-year PhD studentships for research in speech processing and
natural language processing (NLP / NLProc)*

*** Applications now open for September 2023 intake ***

Deadline for applications: *31 January 2023*

*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 *acoustics,
signal processing, speech processing, **natural language processing (NLP /
NLProc), computational linguistics, mathematics, machine learning, physics,
psychology, and computer science*.

Located in the Department of Computer Science
<https://www.sheffield.ac.uk/dcs> at the University of Sheffield
<https://www.sheffield.ac.uk> – a world leading research institution in the
SLT field – the *UKRI Centre for Doctoral Training (CDT) in Speech and
Language Technologies and their Applications
<https://slt-cdt.sheffield.ac.uk>* is a vibrant research centre that also
provides training in engineering skills, leadership, ethics, innovation,
entrepreneurship, and responsibility to society.

Why not join us and push the boundaries of modern computational natural
language processing and speech processing research?

Apply now: https://slt-cdt.ac.uk/apply/

*The benefits:*

   - Four-year fully-funded studentship covering all fees and an enhanced
   stipend (£17,668 pa plus an additional enhancement* - tax free).
   - Laptop and dedicated desk in the SLT CDT workspace equipped with dual
   external monitors, headset, keyboard and mouse.
   - 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
   <https://slt-cdt.sheffield.ac.uk/training> 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, many
   supported by one of our industry partners.
   - A dedicated workspace purely for SLT CDT students 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 <https://www.sheffield.ac.uk/sheffield-guide> which
   is one of the most affordable university cities in the UK (1st in the
   Unifresher Cheapest Cities In The UK For Students To Live In 2022
   <https://unifresher.co.uk/cities/national/the-cheapest-cities-in-the-uk-for-students/>
   ; 3rd in the NatWest Student Living Index 2022
   <https://www.natwest.com/life-moments/students-and-graduates/student-living-index.html>
   ).


*About you:*
We are looking for students from a wide range of backgrounds who have a
passion for speech and language / 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;
   electrical engineering; control engineering; informatics; AI; speech and
   language processing; mathematics; physics; linguistics; cognitive science;
   and general engineering.
   - Regardless of background, you *must* be able to demonstrate strong
   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.
   - Both “Home” and “International” students may apply; UKRI limits the
   proportion of International students. Full details can be found on our
   website <https://slt-cdt.sheffield.ac.uk/apply>.


*Applying:*
Applications are now sought for the September 2023 intake. The deadline is *31
January 2023*.

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
<https://slt-cdt.sheffield.ac.uk/apply/application-guide> on how to apply:
https://slt-cdt.ac.uk/apply/

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

*By replying to this email or contacting sltcdt-enquiries at sheffield.ac.uk
<sltcdt-enquiries at 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.*

** UKRI have recently increased the minimum stipend; we will announce the
level of our enhancement (over and above the UKRI minimum) as soon as
possible.*





-- 
*Stuart N Wrigley BSc(Hons) PhD MIET SMIEEE MAUA* (he/him)
Operations and Business Development Manager
UKRI Centre for Doctoral Training in Speech and Language Technologies and
their Applications
slt-cdt.ac.uk        twitter.com/sltcdt        linkedin.com/company/sltcdt

Department of Computer Science, University of Sheffield, UK
Tel: +44 (0) 114 222 1880 (Internal: 21880) - redirects to my mobile
s.wrigley at sheffield.ac.uk
http://staffwww.dcs.shef.ac.uk/people/S.Wrigley/
https://www.linkedin.com/in/stuart-wrigley/
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mailman.srv.cs.cmu.edu/pipermail/connectionists/attachments/20221123/467dba54/attachment.html>