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Computer Science

Google DeepMind Research Ready Programme

Paid summer internships at the University of Exeter

Your gateway to AI innovation and excellence

The University of Exeter, in collaboration with Google DeepMind, proudly presents the Research Ready Programme - a unique eight-week paid summer internship designed to empower students to excel in the ever-evolving world of artificial intelligence (AI).

This programme is your chance to work on cutting-edge research projects, develop advanced technical skills, and build a network of connections with world-class researchers and leaders.

Hosted by the Department of Computer Science with support from the Institute for Data Science and Artificial Intelligence (IDSAI), this programme offers a transformative experience that combines rigorous academic mentoring, hands-on research, and professional development workshops with real-world impact.

We will be hiring 12 students to participate in the programme, offering a generous stipend, travel support and free accommodation near our beautiful Streatham Campus. You are not required to have any previous research experience; however, those who have an interest in postgraduate study will benefit most from this programme.

Programme timeline

Application deadline: 17th Feb 2025 23:59 (11:59 pm)

Programme duration: 23rd June 2025 to 18th August 2025

Location: Streatham Campus, Stocker Rd, University of Exeter, Exeter, Devon, EX4 4PY

Person wearing a virtual reality headset with a blue and green background

What makes this programme unique?

The programme offers you the opportunity to work on AI projects that address real-world challenges and will be powered by computing facilities at Exeter.

Research themes include (but are not limited to):

  • Trustworthy AI: Designing ethical, transparent, and secure AI systems.
  • Environmental Intelligence: Developing AI tools for climate modelling, biodiversity monitoring, and sustainable resource management.
  • AI for Healthcare: Advancing precision medicine, predictive diagnostics, and healthcare delivery optimization.
  • Urban Analytics: Leveraging AI to improve urban infrastructure, planning, and smart city technologies.
  • Computational Social Science: Using AI to analyse societal behaviours and improve public policies.
  • Data-Centric Engineering: Innovating AI applications in engineering design, systems optimization, and real-time monitoring.
  • Complex Systems Analysis: Exploring how AI can model and analyse large-scale, interconnected systems like ecosystems or financial markets.
  • Evolutionary Optimisation: Developing AI systems inspired by natural selection to solve intricate optimisation problems.
  • Ethical AI: Addressing critical issues like fairness, bias, accountability, and the societal impact of AI technologies.

A defining feature is an emphasis on mentorship and community building, ensuring you have the guidance and support to excel throughout your journey and have lasting connections within the AI research community.

Faculty mentorship

PhD buddy system

  • To foster peer-to-peer support, each student will be matched with a PhD student “buddy” who shares a similar academic or research background.
  • Your buddy will offer guidance on navigating the research environment, provide practical advice, and help with academic and social integration.

Inclusive research environment

  • The programme ensures diversity in mentorship in STEM. You’ll benefit from a supportive and collaborative atmosphere where faculty, postdoctoral researchers, and peers work together to create an inspiring and inclusive learning experience.

Community building activities

  • Regular cohort meetings, group discussions, and social events will be organized to strengthen bonds among participants, mentors, and PhD buddies.
  • This network will serve as a foundation for your future academic and professional endeavours.

The programme spans eight weeks, beginning with an orientation week to introduce you to Exeter’s AI research ecosystem, advanced tools, and ethical AI practices.

Over the next six weeks, you’ll engage in hands-on research under expert mentorship, focusing on algorithm development and real-world problem-solving.

Weekly workshops, seminars, and training sessions will enhance your skills in AI programming, machine learning techniques, and ethical considerations.

In the final week, you’ll present your research at a capstone event attended by faculty and industry leaders, showcasing your work and exploring future opportunities.

The programme includes interactive workshops and seminars to build both technical and transferable skills:

  • Technical training: AI programming, machine learning fundamentals, deep learning modelling, computer vision, reinforcement learning, and natural language processing.
  • Advanced topics: Deep learning frameworks, statistical analysis, feature engineering, evolutionary algorithms, and ethical AI decision-making.
  • Career focus: Explore pathways in academia, research, and industry with guidance from AI professionals and career advisors.
  • World-class research: We are a Russell Group university renowned for interdisciplinary innovation and impactful AI research.
  • State-of-the-art facilities: Access the ADA high-performance computing system, and cutting-edge laboratories.
  • Global partnerships: Collaborate with leading organizations like the Met Office, Google DeepMind, and the Alan Turing Institute.
  • Interdisciplinary opportunities: Work across fields like environmental science, healthcare, and engineering, broadening your expertise and career prospects.
  • Inspiring campus: Study on a vibrant, picturesque, and eco-friendly campus in the beautiful Devon countryside.
  • Inclusive community: Thrive in a diverse, supportive environment committed to excellence and equity.

Eligibility criteria

The Google DeepMind Research Ready Programme at the University of Exeter is tailored to current undergraduate students and students with only a bachelor's degree in computer science, AI, or a related technical field.

Please make sure you meet the following criteria before applying:

Essential criteria (all required)

  • Must be a resident of the UK and eligible to pay UK home fees.
  • Must have the right to live and work full-time in the UK for the duration of the programme.
  • Must be in the 2nd or 3rd year of the undergraduate degree or have completed an undergraduate degree in computer science, AI, or a related technical field.
  • Must not be currently enrolled in or have completed a Masters or PhD programme.

Socioeconomic criteria (at least one required)

  • Eligible for free school meals during secondary education.
  • Residing in an area ranked in the lowest two deciles according to deprivation indices like IMD or POLAR.
  • Experienced care from a local authority at any point.
  • In receipt of full state support for maintenance during their undergraduate studies.

How we evaluate applications

Candidates passing all the Essential criteria and one of the Socioeconomic criteria will be then evaluated across four categories:

  1. Academic performance: Scored based on the student's academic performance in relevant modules.
  2. Motivation and potential: Scored based on the personal statement and recommendation letter(s) to identify strong personal drive and commitment to research in AI and alignment with Exeter’s AI research.
  3. Equity, diversity, and inclusion: Scored to identify students from underrepresented groups, including women, black, Asian, mixed, and minority ethnic students.
  4. Socioeconomic background: Scored on additional socioeconomic factors of financial constraints and access to resources.

Apply now

Take your first step toward a future in AI. Please fill out the application below for consideration (At this stage the application requires your personal and schooling details, a personal statement of a maximum of 8000 characters including spaces, and details of your academic/professional recommender)

Application portal - apply here

Spaces are limited - apply now to join this transformative programme. Let’s shape the future of AI together!

A student examining a financial graph in the computer lab

Contact

For any administrative queries, please contact computerscience-admin@exeter.ac.uk.

For other queries, please contact the Programme Lead: Dr. Jawad Fayaz (j.fayaz@exeter.ac.uk