Graduate opportunities
Applications are now open!
Applications for EIT Graduate Scholarships are now open. You can find more information and the link to the application form below. First deadline of applications is 1 December 2025.
Please read eligibility and selection criteria before starting your application.
Drive innovation while studying at the University of Oxford as a fully-funded graduate
EIT provides fully-funded doctoral (DPhil/PhD) study at the University of Oxford, where graduate students directly contribute to progressing an EIT project. These projects tackle global challenges through cutting-edge technology, offering graduate students the chance to collaborate with world-leading experts to develop innovative solutions.
The EIT graduate opportunities are highly competitive. EIT is looking for exceptionally talented individuals with the skills and expertise to contribute significantly to our projects. We are particularly interested in students with skills in fields such as computer science, artificial intelligence, economics, mathematics, robotics, plant sciences, machine learning, chemistry, biology, engineering, medicine or microbiology. Graduate scholarships applicants must demonstrate skills aligned with their chosen areas.
EIT funds:
Doctoral Students
Graduate students funded by EIT have an exceptional academic, research, and innovation track record and a portfolio of achievements that go beyond the selection criteria. They are individuals who have already demonstrated significant impact in their field and the potential to become future leaders in research and innovation. Our students not only push the boundaries of knowledge but also have the vision and drive to translate their ideas into real-world applications and commercial opportunities.
Scroll down to learn more about the EIT Graduate Scholarships.
Doctoral Programmes
EIT also funds doctoral programmes at the University of Oxford, including the Fundamentals of AI Centre for Doctoral Training (CDT). Admission to these programmes is managed by the standard University admissions process.
Areas for EIT Graduate Funding
EIT Graduate students will work on DPhil (PhD) projects that directly contribute to the research and innovation programs at EIT:
- Health, Medical Science & Generative Biology
- Food Security & Sustainable Agriculture
- Climate Change & Managing Atmospheric CO2
- Artificial Intelligence & Robotics
They will bring their relevant skills, experiences or interests in areas such as AI & data, economics & policy, generative biology, robotics, engineering, chemistry, physics, biology, computer science, mathematics, medicine or law into their DPhil (PhD) projects.
Find out more about the areas for EIT Graduate Funding here.
Eligibility
Applicants will need to meet the University of Oxford’s entry requirements for their chosen doctoral course. They must:
- Have, or be on track to be awarded, the relevant qualification(s) required by the University of Oxford,
- Have met, or be on track to meet, the grade requirements for their chosen doctoral course and
- Have met, or be on track to meet, the University’s English language requirements for their chosen doctoral course.
Applicants who do not meet these criteria are strongly dissuaded from applying for the scholarships.
Eligible applicants must also meet our selection criteria before starting an application.
Selection criteria
Alignment
Applicants must demonstrate alignment with their chosen areas for EIT Graduate Funding through:
- Proven ability to make meaningful and substantial contributions to the project's development and impact – i.e. the research and innovation experience that would allow them to quickly contribute to the project.
- A genuine interest in their chosen EIT Project, reflecting their commitment to its goals.
- A well-matched research proposal that aligns with the project's objectives.
Excellence
They are high-performers who demonstrate outstanding academic achievements, intellectual curiosity and the ability to apply knowledge critically and effectively to solve complex challenges.
How this might be evidenced:
- Outstanding academic record, particularly in relevant disciplines (e.g., first-class degree, distinction in a master’s programme, a minimum GPA 3.7/4).
- Competitive scholarships, fellowships, competitions, academic awards or similar accolades at undergraduate or, where relevant, postgraduate level.
- Significant contributions to a major research project, laboratory work or field study.
Innovation
They are visionary learners who embrace technological advancements with creativity, challenge the status quo and explore innovative solutions to achieve transformative outcomes.
How this might be evidenced:
- Peer-reviewed publications, patents or other recognised contributions to innovative research.
- Participation in interdisciplinary or cutting-edge research projects.
- Awards or recognition for innovative research, academic presentations or technological advancements.
Collaboration
They are trusted collaborators who build strong relationships, foster teamwork and demonstrate the ability to bring people together to achieve success.
How this might be evidenced:
- Involvement in collaborative research projects, co-authored publications or multi-institutional studies.
- Contribution to team-based initiatives such as lab management, journal editing or academic committees.
- Experience in organising academic conferences, workshops or research symposia.
Tenacity
They are tenacious achievers who view setbacks as opportunities to learn and adapt and demonstrate resilience and determination to overcome challenges and achieve success.
How this might be evidenced:
- Completion of a rigorous research project, dissertation or thesis despite significant challenges.
- Persistence in securing research funding, scholarships or competitive opportunities.
- Long-term commitment to a research area, demonstrated through sustained academic contributions.
Integrity
They are trustworthy people who value honesty, foster openness and build trust through commitment to collective success.
How this might be evidenced:
- References or endorsements highlighting ethical conduct and reliability.
- Roles and responsibilities that require high ethical standards, such as student representative or community leader.
- Honesty and accuracy in the application form.
Applications are now open!
1 December 2025
- January 2026: First round of conditional scholarship decisions.
- January 2026: Finalists submit applications to the University of Oxford.*
1 February 2026
- March 2026: Final found of conditional scholarship decisions.
- March 2026: Finalists submit applications to the University of Oxford.*
- NB: Applications may remain open beyond this deadline if places are still available.
April 2026
Scholarship recipients are announced.
October 2026
Graduate students begin their studies at the University of Oxford.
Fundamentals of AI CDT
Discover the courseEIT CDT Students will undertake foundational research in the underpinning theory and method development of artificial intelligence and machine learning that have the potential to have a transformative impact across EIT’s four Humane Endeavours: Health, Medical Science & Generative Biology, Food Security & Sustainable Agriculture, Climate Change & Managing Atmospheric CO2 and Artificial Intelligence & Robotics.
The course provides training in both cutting-edge AI research methodologies and the development of business and transferrable skills. Students will undertake a significant, challenging and original research project, leading to the award of a DPhil (PhD).
The course offers up to 20 fully-funded places to UK and international applicants. The application and selection process for the EIT CDT course is managed by the University of Oxford’s admissions team.
Register for an information session
Explore the programme further by joining our online webinars, where you can meet the team and learn more about the scholarships.
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