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Rachael Reitz

Applications Closed for 2019

By | Admissions | No Comments

Applications have now closed for our September 2019 intake

We received a huge amount of interest from students from a variety of academic backgrounds. The team would like to give thanks for everyone who has taken their time to get in touch or apply.

Offers have been made for our first ever cohort. We are now busily preparing for the students arrival on the 30th of September. 

Recruitment for 2020

Our next application round will be for September 2020 entry. Applications will open in October 2019, with a first deadline in December 2019 and first decisions in early 2020. Approximately 13 studentships will be available.

If you have any queries please get in touch with the team:

New Logo and Branding

By | Good News | No Comments

Exciting news: We have our new logo!

The team have been working behind the scenes to prepare for our first cohort of students.

We now have our own shiny new logo to sit along side the University’s logo and UKRI.

Watch this space for new branding and centre brochures.

Funding announced

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The University of Sheffield has received funding to train the next generation of artificial intelligence scientists and engineers

In February 2019 the UK received a major boost to advance its position in the global AI race, thanks to a £100m investment to train the next generation of artificial intelligence leaders. The University is to open one of 16 new Centres for Doctoral Training (CDTs) in Artificial Intelligence (AI) supported by UK Research and Innovation (UKRI). An investment of £8 million pounds has been made for the CDT, which will be funded by the UKRI, the University and industry partners such as Google and Amazon.

Sheffield’s Centre will focus on speech and language technologies, addressing the current shortfall in demand for scientists and engineers with advanced training in this area

Professor Thomas Hain, Principal Investigator and Director of the CDT in Speech and Language Technologies and their Applications, said: “We are proud that the University of Sheffield has been chosen to host a centre for doctoral training that will combine our experience in training generations of inspired doctoral students with our track record of world-leading research. No SLT research training worldwide has the same breadth and depth, and exposure to real world problems that this centre will offer.”

A long-term goal of AI has been to create machines that can understand spoken and written human language, a capability that would enable spoken language interaction between humans and computers, and translation between all human languages.

The University of Sheffield has worked at the forefront of SLT for three decades and generated knowledge and defined best practise in automatic speech recognition, machine translation, text mining and social media analytics, speech perception and hearing research, and many other subject areas. The research groups have a very broad multidisciplinary expertise that is unique amongst UK researchers in this field.

The four-year training programme is designed to develop students’ professional skills and technical research experience, teaching them to foster interdisciplinary approaches, forge links with industry, and apply their learning to the real-world, developing their entrepreneurial skills. The CDT will pay particular attention to training students to be aware of ethical issues and concerns that arise in AI research in general and SLT research in particular.

A major part of the CDT involves close collaboration with industry, including multinationals such as Google, Amazon, Voicebase, Nuance, NHS Digital, Solvay and TechNation, as well as substantial UK SME support. They bring both insight and relevance to the students’ training and reduce the gap between academic theory and industrial practice. The industry partners will contribute through research projects, internships, teaching, advisory roles and outreach activities.

The Centre officially opened on the 1st April 2019 and will be welcoming its first cohort in September 2019.