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- Tasks: Engage in AI research placements and gain hands-on experience in cutting-edge projects.
- Company: Collaborative initiative by Royal Academy of Engineering, Google DeepMind, and Hg Foundation.
- Benefits: Paid internships, valuable research experience, and networking opportunities in AI.
- Why this job: Join a diverse community and make a real impact in the AI field.
- Qualifications: UK resident, studying computer science or related fields, from underrepresented backgrounds.
- Other info: Empower your future in AI with support and mentorship throughout the programme.
The predicted salary is between 500 - 1500 £ per month.
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
- 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 addition 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:
RAEng Google DeepMind Research Ready Summer Internships 2026 in Manchester employer: Manchester Centre for AI Fundamentals
Contact Detail:
Manchester Centre for AI Fundamentals Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land RAEng Google DeepMind Research Ready Summer Internships 2026 in Manchester
✨Tip Number 1
Network like a pro! Reach out to your university's career services or professors who might have connections in AI research. They can help you get your foot in the door and provide valuable insights into the application process.
✨Tip Number 2
Prepare for interviews by practising common questions related to AI and your specific interests. We recommend doing mock interviews with friends or mentors to build your confidence and refine your answers.
✨Tip Number 3
Showcase your passion for AI! Whether it's through personal projects, online courses, or relevant extracurricular activities, make sure to highlight these experiences during interviews to demonstrate your commitment to the field.
✨Tip Number 4
Don't forget to apply through our website! It's the best way to ensure your application gets noticed. Plus, we often have exclusive opportunities listed that you won't find anywhere else.
We think you need these skills to ace RAEng Google DeepMind Research Ready Summer Internships 2026 in Manchester
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your application for the specific internship. Highlight your relevant skills and experiences that align with AI research and the goals of the programme. We want to see how you fit into our vision!
Showcase Your Passion: Let your enthusiasm for AI and research shine through! Share any projects, coursework, or experiences that demonstrate your interest in the field. We love seeing candidates who are genuinely excited about what they can contribute.
Be Clear and Concise: Keep your writing clear and to the point. Avoid jargon unless it’s necessary, and make sure your ideas flow logically. We appreciate well-structured applications that are easy to read and understand.
Apply Through Our Website: Don’t forget to submit your application through our official website! It’s the best way to ensure we receive all your details correctly. Plus, it shows you’re serious about joining us at StudySmarter!
How to prepare for a job interview at Manchester Centre for AI Fundamentals
✨Know Your AI Basics
Make sure you brush up on the fundamentals of AI and machine learning. Understand key concepts, recent advancements, and how they relate to the projects you might be working on. This will show your genuine interest and help you engage in meaningful discussions during the interview.
✨Highlight Your Unique Background
Since this programme focuses on widening participation from underrepresented groups, don’t shy away from sharing your personal journey. Talk about any challenges you've faced and how they've shaped your passion for AI. This can set you apart and resonate with the interviewers.
✨Prepare Questions About the Programme
Come prepared with thoughtful questions about the internship and the research projects. This not only shows your enthusiasm but also helps you gauge if the programme aligns with your career goals. Ask about mentorship opportunities or the types of projects you could be involved in.
✨Practice Your Communication Skills
Clear communication is key, especially in a technical field like AI. Practice explaining complex concepts in simple terms, as you may need to do this during the interview. Consider doing mock interviews with friends or using online platforms to build your confidence.