DeepMind PhD Studentship in AI or Machine Learning

Queen Mary University of London is inviting applications for the DeepMind PhD Studentship for September 2023.

The DeepMind PhD Studentship programme is established at Queen Mary University of London in partnership with leading British AI company, DeepMind.

The PhD Studentship supports and encourages under-represented groups, namely female and Black researchers, to pursue postgraduate research in AI or Machine Learning.

• 3-year fully-funded PhD Studentship
• Access to cutting-edge facilities and expertise in AI
• Partnership and mentorship with DeepMind employees working at the cutting edge of AI research and technologies.

Who can apply

Queen Mary is on the lookout for the best and brightest students in the fields of AI and Machine Learning.

Successful applicants will have the following profile:

• Identify as female and/or are of Black ethnicity, each being under-represented groups in the field of Artificial Intelligence and Computer Science
• Should hold, or is expected to obtain an MSc in Computer Science, Electronic Engineering, AI, Physics or Mathematics or a closely related discipline; or can demonstrate evidence of equivalent work experience
• Having obtained distinction or first-class level degree is highly desirable
• Programming skills are strongly desirable; however, we do not consider this to be an essential criterion if candidates have complementary strengths.

We actively encourage applications from candidates who are ordinarily resident in the UK. The studentship is also open to International applicants.

About the School of Electronic Engineering and Computer Science at Queen Mary

The PhD Studentship will be based in the School of Electronic Engineering and Computer Science (EECS) at Queen Mary University of London. As a multidisciplinary School, we are well known for our pioneering research and pride ourselves on our world-class projects. We are 8th in the UK for computer science research (REF 2021) and 7th in the UK for engineering research (REF 2021). The School is a dynamic community of approximately 350 PhD students and 80 research assistants working on research centred around a number of research groups in several areas, including Antennas and Electromagnetics, Computing and Data Science, Communication Systems, Computer Vision, Cognitive Science, Digital Music, Games and AI, Multimedia and Vision, Networks, Risk and Information Management, Robotics and Theory

For further information about research in the school of Electronic Engineering and Computer Science, please visit: http://eecs.qmul.ac.uk/research/.

How to apply

Queen Mary is interested in developing the next generation of outstanding researchers - whether in academia, industry or government – therefore the project undertaken under this Studentship is expected to fit into the wider research programme of School. Applicants should select a supervisor (a first and second choice) from the School at application stage. Visit our website for information about our research groups and supervisors: eecs.qmul.ac.uk/phd/phd-opportunities/

Applicants should submit their interest by returning the following to ioc@qmul.ac.uk by 12pm (noon), 10 April 2023:

• Indicate first and second choice academic supervisor
• CV (max 2 pages)
• Cover letter (max 4,500 characters)
• Research proposal (max 500 words)
• 2 References
• Certificate of English Language (for students whose first language is not English)
• Other Certificates 

Application deadline: 10 April 2023

Applications will be reviewed by a panel of academic staff: May 2023

Interviews: April/May 2023

Start date: September 2023