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Today's Topics:
1. Fully-funded PhD studentships in Speech and NLP at the
University of Sheffield (Carol Scarton)
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Message: 1
Date: Tue, 12 Jan 2021 19:38:25 +0000
From: Carol Scarton <carol.scarton@gmail.com>
Subject: [Moses-support] Fully-funded PhD studentships in Speech and
NLP at the University of Sheffield
To: mt-list@eamt.org, moses-support@mit.edu
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<CACDJ-d3gkR78FRaKfk_A7BqWeyPvH8XkQDjG3=R93zROvGt80A@mail.gmail.com>
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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, UK
Fully-funded 4-year PhD studentships for research in speech technologies
and NLP
** 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.
Apply now: https://slt-cdt.ac.uk/apply/
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 the UKRI 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.
--
*Carolina Scarton*
Academic Fellow
Department of Computer Science
University of Sheffield
http://staffwww.dcs.shef.ac.uk/people/C.Scarton/
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