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15 interdisciplinary PhD studentships offered by SOCIAL CDT

Outstanding applicants are being sought from areas such as Psychology, Computer Science, Linguistics, Engineering, Mathematics and other related fields to become the next generation of experts in Socially Intelligent Artificial Agents.

Successful applicants will train in the £4.9 million SOCIAL Centre for Doctoral Training (CDT), one of 16 UKRI-funded CDTs across the UK. With investment of over £200 million from UKRI, partner universities and industrial partners in AI CDTs across the UK over the next few years, this is an exciting and ever-expanding field in which to study.

The SOCIAL CDT offers a unique interdisciplinary programme with strong industry links. In their first year, students undergo specialist training through 120 credits of taught courses. In years two to four, they carry out PhD research and write up their results.

Throughout the programme, students are involved in a range of cohort activities, leadership events, outreach events and student-led workshops. They benefit from a generous conference travel fund and collaboration and internship opportunities with 16 international industrial partners. The SOCIAL CDT also has unique links with the Scottish Graduate School for Social Sciences (SGSSS), with the opportunity for students to take part in their advanced training and popular annual Summer School.

Following a successful SOCIAL industry event in December 2019, around 20 PhD projects have been created for the 2020 intake of students. Applicants to the SOCIAL CDT programme choose their three preferred projects, and successful applicants will be assigned a project when they are accepted onto the programme.

SOCIAL is a collaboration between the School of Computing Science, the School of Psychology, the Institute of Neuroscience and Psychology, the Adam Smith Business School, the School of Critical Studies, the School of Engineering, the Scottish Graduate School of the Social Sciences and 16 industrial partners (BRAIQ, Context-Scout, Dimensional Imaging, Dyson, FLASH Robotics, Furhat Robotics, Micro-phonics, Microsoft, Neurodata-Lab, PolyAI, Qumodo, Rakuten, Schlumberger, SICSA, Telefonica, The Data Lab).

More information about SOCIAL CDT and instructions on how to apply are available at www.social-cdt.org. Find us on twitter (@SOCIAL__AI), or email social-cdt@glasgow.ac.uk for further information.

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