******************************************************************************************************* 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-enquir...@sheffield.ac.uk By replying to this email or contacting sltcdt-enquir...@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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