The University of Exeter and Google DeepMind’s Research Ready Program: Empowering the Next Generation of AI Innovators
Table of Content
- Overview of Google DeepMind’s Research Ready Program
- Why Choose This Program?
- Program Details
- Benefits
- Eligibility Criteria
- Selection Criteria
- Application Process and Key Dates
The world of artificial intelligence (AI) is evolving rapidly, with transformative technologies shaping industries and societies alike. For students eager to dive into this dynamic field, the University of Exeter, in collaboration with Google DeepMind, offers a remarkable opportunity through the Research Ready Program. This eight-week paid summer internship is designed to empower students with hands-on research experience, technical skills, and a strong professional network in the realm of AI.
Why Choose This Program?
The Research Ready Program is a unique, transformative opportunity for students passionate about AI. Hosted by the Department of Computer Science at the University of Exeter and supported by the Institute for Data Science and Artificial Intelligence (IDSAI), this program provides participants with:
- Rigorous Academic Mentoring: Weekly one-on-one guidance from world-class faculty.
- Hands-On Research Experience: Work on cutting-edge AI research projects with direct industry relevance.
- Professional Development Workshops: Sessions covering AI programming, machine learning, career guidance, and more.
Program Details
- Participants: 12 students
- Stipend: Generous financial support, including travel and free accommodation
- Location: Streatham Campus, University of Exeter, Exeter, Devon, EX4 4PY
- Eligibility: Open to UK residents (detailed criteria below)
- No prior research experience required: Ideal for students interested in postgraduate study.
Benefits
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Focus on Ground-Breaking AI Research Themes The program allows participants to engage with AI projects addressing real-world challenges. Some of the key research themes include:
- Trustworthy AI: Ethical, transparent, and secure AI systems
- Environmental Intelligence: Climate modelling and sustainable solutions
- AI for Healthcare: Precision medicine and predictive diagnostics
- Urban Analytics: Smart city technologies and urban planning
- Computational Social Science: Analyzing societal behaviors
- Data-Centric Engineering: Innovations in engineering and systems optimization
- Complex Systems Analysis: Large-scale systems modeling
- Evolutionary Optimization: Nature-inspired AI systems
- Ethical AI: Tackling fairness, bias, and societal impact
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Personalized Mentorship and Support
- Faculty Mentorship: Weekly one-on-one mentoring sessions with faculty members matched to your research interests.
- PhD Buddy System: Peer support from doctoral students to help you navigate the research environment.
- Inclusive Environment: An atmosphere that fosters excellence and diversity in AI.
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Immersive Learning and Research Experience
- Orientation Week: Introduction to Exeter’s AI ecosystem and ethical AI practices.
- Research Phase: Engaging in hands-on AI research with expert guidance.
- Weekly Workshops: Topics covering AI programming, machine learning, ethics, and more.
- Capstone Event: Showcase your work to faculty and industry leaders at the end of the program.
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Professional Development Opportunities Students will benefit from interactive sessions that cover:
- Technical Skills: AI programming, machine learning, and deep learning.
- Advanced Topics: Statistical analysis, reinforcement learning, and feature engineering.
- Career Guidance: Insights into academic and industry pathways in AI research and development.
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Access to World-Class Facilities and Networks The University of Exeter is a Russell Group university renowned for its impactful AI research. Students will have access to:
- ADA High-Performance Computing and advanced AI labs.
- Global Partnerships: Collaborate with top institutions such as Google DeepMind and The Alan Turing Institute.
- Interdisciplinary Opportunities: Collaborate across healthcare, engineering, and other fields.
Eligibility Criteria
The program is tailored for undergraduate students or those with a bachelor’s degree in fields such as computer science, AI, or related disciplines. Key eligibility criteria include:
Essential Criteria:
- UK residency and eligibility for UK home fees
- Right to live and work in the UK during the program
- In the penultimate year of undergraduate studies or have completed an undergraduate degree
- Not currently enrolled in or completed a master’s or PhD
Socioeconomic Criteria (at least one required):
- Eligible for free school meals during secondary education
- Residing in areas ranked low in deprivation indices (e.g., IMD, POLAR)
- Experienced care from a local authority
- In receipt of full state support for undergraduate maintenance
Selection Criteria
Applications will be assessed based on:
- Academic Performance: Strength in relevant modules.
- Motivation & Potential: Evaluated through personal statements and recommendations.
- Equity & Diversity: Ensuring representation from underrepresented groups.
- Socioeconomic Background: Consideration of additional financial or resource constraints.
Application Process
To apply, candidates will need to submit:
- Personal and Academic Details
- Personal Statement (max 8,000 characters, including spaces)
- Recommender Details
Contact
For more details:
- Administrative Queries: computerscience-admin@exeter.ac.uk
- Program Lead: Dr. Jawad Fayaz (j.fayaz@exeter.ac.uk)
Key Dates:
- Application Deadline: 20th January 2025 (23:59 BST)
- Program Duration: 23rd June 2025 – 18th August 2025
How to Apply
Interested and qualified? Go to Scholarship at Uniplus Global to apply
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