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RAEng Google DeepMind Research Ready Summer Internships 2026

Manchester Centre for AI Fundamentals Manchester (524 km)

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M
RAEng Google DeepMind Research Ready Summer Internships 2026
Manchester Centre for AI Fundamentals Manchester (524 km)
Status Open
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What we ask

Education

No minimum education required

Job description

Google DeepMind Research Ready is a pioneering new scheme supporting UK universities to deliver AI research placements for undergraduate students from socioeconomically disadvantaged backgrounds and underrepresented groups within engineering.

 

The scheme is a partnership between the Royal Academy of Engineering, Google DeepMind and the Hg Foundation. In summer 2025, it funded over 100 paid AI research placements hosted by 12 UK universities, providing students with research experience, tools and opportunities to excel in AI research.

 

About the Programme

 

It aims to widen participation in AI research by addressing barriers encountered by undergraduates from socioeconomically disadvantaged and underrepresented backgrounds in progressing to advanced degrees and careers in AI. In doing so, it will build a stronger, more diverse AI research community that can bring unique perspectives and solutions to the field.

 

The programme will support eligible undergraduates to improve their knowledge of the different areas of AI, build their research expertise, understand the routes into different AI careers, and build confidence in taking the next steps in their education or career journey in AI.

 

Residency and Academic Criteria

 

You must meet all the following:

  • Be a UK resident and eligible to pay UK home fees.
  • Have, or expect to have, the right to live and work full time in the UK for the duration of the programme and can provide proof.
  • Are within the penultimate or final year of their undergraduate degree, or have already completed an undergraduate degree, in computer science or an AI facilitatory-related technical field.
  • Are not currently studying for or have completed a master’s degree or PhD.

 

Socioeconomic Criteria

 

In additional to the above, you must provide evidence that you meet at least one of the following:

  • Have been eligible for free school meals.
  • Live in an area in the lowest two deciles according to a postcode measure such as IMD or POLAR.
  • Have at some stage been in local authority care.
  • Have been in receipt of full state support for maintenance for their course of undergraduate study.
  • Have had caring responsibilities for 3 months or more, which either have occupied more than 10 hours per week, or which have impacted on the applicant’s education, health or wellbeing.
  • Receive/received the maximum Maintenance Loan for undergraduate study.

 

To see projects available and apply:

https://www.ai-fun.manchester.ac.uk/connect/raenginternships/

About the employer

Manchester Centre for AI Fundamentals
Apply now

Apply on the employer's website

Apply now

Apply on the employer's website


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