Connectionists: Fully-funded PhDs in Speech and NLP at the University of Sheffield (UKRI CDT in Speech and Language Technologies)

[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)

** Final chance to join September 2023 intake **

Deadline for applications: 30 April 2023. 

Speech and Language Technologies (SLTs) are a range of Artificial Intelligence (AI) approaches which allow computer programs or devices to analyse, produce, modify or respond to spoken and written language. 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. 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 <https://www.sheffield.ac.uk/> – a world leading research institution in the SLT field and one of the UK's largest speech and language research centres – 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 (£19,000 per year, tax free).
Laptop and dedicated desk in the SLT CDT workspace equipped with external monitors, headset, keyboard and mouse.
Generous personal allowance (approx £2,500 per year) 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 UK 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.ac.uk/apply/>.

Applying:
Applications are sought for the September 2023 intake. The deadline is 30 April 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 on how to apply: https://slt-cdt.ac.uk/apply 

For an informal discussion about your application please contact us at: sltcdt-enquiries at sheffield.ac.uk <mailto:sltcdt-enquiries at sheffield.ac.uk>
By contacting sltcdt-enquiries at sheffield.ac.uk <mailto: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.




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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
https://slt-cdt.ac.uk      twitter.com/sltcdt        https://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/




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