[agents] up to 15 PhD studentships in AI available at King’s College London and Imperial College London

[Black, Elizabeth]

New UKRI Centre for Doctoral Training in Safe and Trusted Artificial Intelligence
King's College London and Imperial College London are delighted to announce a new UKRI Centre for Doctoral Training (CDT) in Safe and Trusted Artificial Intelligence (STAI)!

The CDT will fund up to 15 students each year for the next 5 years. Applications are open now to start in September 2019. The deadline for the current round of applications is 17 March 2019, with further rounds expected for entry in September 2019.

For details on how to apply, see: www.kcl.ac.uk/stai<http://www.kcl.ac.uk/stai>

About the STAI CDT
The Safe and Trusted AI CDT offers a unique four-year PhD programme, focussed on the use of model-based AI techniques for ensuring the safety and trustworthiness of AI systems. King’s College London and Imperial College are renowned for their expertise in model-based AI and host some of the world’s leaders in the area.

Various training activities, alongside individual PhD projects, will train students in state-of-the-art AI techniques and give them the opportunity to acquire a deep understanding of ethical, societal, and legal implications of AI in a research and industrial setting. Through engagement with the CDT’s diverse range of private and public sector partners, students will be exposed to the different experiences, challenges, and technical problems involved in both start-ups and large corporations.
Funding
Each studentship will be funded for 4 years. This includes tuition fees, stipend and a Research Training Support Grant (RTSG).
•             Stipend: Students will receive a tax-free stipend of around £17,000 per year.
•             RTSG: A generous allowance will be provided for research consumables and additional training, and for attending UK and international conferences.
Funding is available for both home and EU students, and there is funding for one international student to start in September 2019.

Find out more at www.kcl.ac.uk/stai<http://www.kcl.ac.uk/stai>

Any questions about the STAI CDT should be sent to stai-cdt at kcl.ac.uk<mailto:stai-cdt at kcl.ac.uk>

STAI CDT Director Team
Professor Michael Luck<https://www.kcl.ac.uk/nms/depts/informatics/people/atoz/luckm>, King's College London, Director of the STAI CDT
Professor Alessio Lomuscio<https://www.doc.ic.ac.uk/~alessio/>, Imperial College London, Deputy Director of the STAI CDT
Dr Elizabeth Black<https://www.kcl.ac.uk/nms/depts/informatics/people/atoz/blackl>, King's College London, Co-Director of the STAI CDT
Dr Natalia Criado<https://www.kcl.ac.uk/nms/depts/informatics/people/atoz/criadon>, King's College London, Co-Director of the STAI CDT
Dr Daniele Magazzeni<https://www.kcl.ac.uk/nms/depts/informatics/people/atoz/magazzenid>, King's College London, Co-Director of the STAI CDT
Dr Fariba Sadri<https://www.imperial.ac.uk/people/f.sadri>, Imperial College London, Co-Director of the STAI CDT
Professor Francesca Toni<https://www.doc.ic.ac.uk/~ft/>, Imperial College London, Co-Director of the STAI CDT

Web: www.kcl.ac.uk/stai<http://www.kcl.ac.uk/stai>
Email: stai-cdt at kcl.ac.uk<mailto:stai-cdt at kcl.ac.uk>
Twitter: @safe_trusted_ai<https://twitter.com/safe_trusted_ai>

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