Connectionists: Fully funded four-year PhD studentships in Speech And Language Technologies And Their Applications at the University of Sheffield

[Thomas Hain]

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

Department of Computer Science

Faculty of Engineering

University of Sheffield



Fully-funded 4-year PhD studentships for research in Speech and Language
Technologies (SLT) and their Applications

** Apply now for September 2020 intake. Up to 13 studentships available **

Deadline for applications: 31 January 2020.

What makes the SLT CDT different:

   -

   Unique Doctor of Philosophy (PhD) with Integrated Postgraduate Diploma
   (PGDip) in SLT Leadership.
   -

   Bespoke cohort-based training programme running over the entire four
   years providing the necessary skills for academic and industrial leadership
   in the field, based on elements covering core SLT skills, research software
   engineering (RSE), ethics, innovation, entrepreneurship, management, and
   societal responsibility.
   -

   The centre is a world-leading hub for training scientists and engineers
   in SLT – two core areas within artificial intelligence (AI) which are
   experiencing unprecedented growth and will continue to do so over the next
   decade.
   -

   Setting that fosters interdisciplinary approaches, innovation and
   engagement with real world users and awareness of the social and ethical
   consequences of work in this area.


The 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.
   -

   A full-time PhD with integrated PGDip incorporating 6 months of
   foundational SLT training prior to starting your research project
   -

   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 underpinned by a real-world application, directly
   supported by one of over 30 industry partners. Partners include Google,
   Amazon, Microsoft, Nuance, NHS Digital and many more
   -

   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 and safest UK
   university cities.


About you:

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 not limited to) computer science, informatics, engineering,
   linguistics, speech and language processing, mathematics, cognitive
   science, AI, physics, or a related discipline.
   -

   Regardless of background, you must be able to demonstrate 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.


Applying:

Applications are now sought for the September 2020 intake. Up to 13
studentships available.



We operate a staged admissions process, with application deadlines
throughout the year.

The first deadline for applications is 31 January 2020. The second deadline
is 31 May 2020.



We may be able to consider applications received after 31 May 2020 if
places are still available. Equally, all places may be allocated after the
first deadline therefore we encourage you to apply early.

Applications will be reviewed within 4 weeks of each deadline and
short-listed applicants will be invited to interview. Interviews will be
held in Sheffield. In some cases, because of the high volume of
applications we receive, we may need more time to assess your application.
If this is the case, we will let you know if we intend to do this.



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


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
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.


-- 
Best regards
Thomas Hain
--
Technical Program Chair, Interspeech 2019

Professor of Speech and Audio Technology
Director CDT in Speecn and Language Technolgy
Director Voicebase Centre for SLT
Head of Speech and Hearing Reserach, Sheffield University
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