Take part in a paid, eight-week summer internship at the University of York and learn about the design, verification and assurance of intelligent robots.

UK (Home) undergraduate applications are now open for the Google DeepMind Research Ready Programme, in partnership with the Royal Academy of Engineering and The HG Foundation.

The Google DeepMind Research Ready Programme provides individuals from underrepresented groups with research experience in robotics and AI. We are looking for talented students from across the UK to work on projects with our world-class researchers.

Our exciting programme is jointly created by two world leading research centres here at York: RoboStar, a centre of excellence on software engineering for robotics, and the Centre for Assuring Autonomy, which is dedicated to pioneering research and innovation in AI and safety.

We’re offering a generous stipend, assistance with travel expenses and FREE on-campus accommodation for the duration of the internship (conditions apply).

Find out more about the Google DeepMind Research Ready programme with our Information Webinar. Hear about the projects on offer in the fields of intelligent robotics and AI and find out more about how to apply.

Eligibility

• Open to UK (home) students at the University of York and all universities across the UK.

Essential criteria (all required)

• You’re currently enrolled in your penultimate or final year of an undergraduate degree OR have recently graduated with an undergraduate degree in computer science or a related subject.
• You’re paying, or did pay, UK (home) tuition fees.
• You’re able to prove that you have the right to live and work in the UK for the duration of the programme.

Academic criteria (all required)

• You're on track to achieve, or have achieved, a final undergraduate degree grade of at least 2:1 in computer science, or a related subject.
• You are not eligible to apply for this programme if you have received an offer for, are currently enrolled in, or have completed, a Master's or PhD programme.

1e127ede32d8f816eacfb0aed73cee11