The Eric and Wendy Schmidt AI in Science Postdoctoral Fellowship 2026 is now open for applications at the University of Oxford, offering early-career researchers a fully funded opportunity to integrate artificial intelligence into cutting-edge STEM research. Now in its fifth round, this prestigious fellowship supports postdoctoral researchers in the mathematical, physical, life, and medical sciences who want to apply AI and machine learning to significant scientific challenges. In particular, researchers seeking AI research fellowships at Oxford 2026 will find this program especially compelling, as it provides world-class mentorship, advanced research infrastructure, and direct access to Oxford’s growing AI research ecosystem. Furthermore, applicants do not need to be AI experts — strong scientific backgrounds with promising AI-integrated research ideas are the priority.
What sets the Schmidt AI in Science Fellowship apart from other postdoc AI funding opportunities in the UK is its interdisciplinary structure. Specifically, fellows work alongside both scientific supervisors and AI mentors, receiving dual guidance that bridges their STEM discipline and machine learning methodology simultaneously. Not only does this accelerate research innovation, but it also builds a genuinely transferable AI skill set across disciplines. Additionally, the program emphasizes ethical AI use, research transparency, and responsible innovation alongside scientific excellence. Consequently, it produces researchers equipped for both academic careers and broader leadership in AI-enabled science.
Applications opened on August 3, 2026 with a deadline of October 16, 2026 at 12:00 noon. Therefore, candidates must secure their Oxford host supervisor and begin preparing immediately. The guide below covers every benefit, eligibility condition, research focus area, and application step for the Schmidt AI in Science Postdoctoral Fellowship 2026.
Quick Answer
The Eric and Wendy Schmidt AI in Science Postdoctoral Fellowship 2026 at the University of Oxford is a fully funded postdoctoral research fellowship for early-career STEM researchers applying AI and machine learning to scientific discovery. It is open to researchers with a completed or pending PhD in mathematical, physical, life, or medical sciences who have secured an Oxford host supervisor. The application deadline is October 16, 2026 at 12:00 noon.
Details About the Schmidt AI in Science Postdoctoral Fellowship 2026
- Host Institution: University of Oxford, United Kingdom
- Fellowship Name: Eric and Wendy Schmidt AI in Science Postdoctoral Fellowship
- Round: Fifth Round of Funding
- Fellowship Type: Fully Funded Postdoctoral Research Fellowship
- Eligible Disciplines: Mathematical, Physical, Life, and Medical Sciences
- Open To: Early-career researchers from all countries
- Host Supervisor Required: Yes — an Oxford MPLS faculty member
- Applications Open: August 3, 2026
- Application Deadline: October 16, 2026 — 12:00 noon
- Interview Period: December 2026
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Fellowship Benefits
The Schmidt AI in Science Fellowship provides a comprehensive academic and professional support package. Furthermore, fellows gain access to one of the world’s most prestigious research environments throughout the placement.
- Fully Funded Research Position: Complete financial support for the postdoctoral fellowship period at Oxford
- World-Class Research Environment: Full access to Oxford’s advanced research infrastructure, laboratories, and facilities
- Dual Mentorship: Supervision from both a scientific Principal Investigator and an AI or Machine Learning academic mentor
- AI Training and Development: Structured support to deepen AI and machine learning expertise throughout the fellowship
- Interdisciplinary Collaboration: Opportunities to work across multiple scientific disciplines within Oxford’s MPLS Division
- Professional Development: Career development as an independent researcher within one of the world’s top academic institutions
- Oxford Research Network: Access to Oxford’s global network of researchers, scientists, and AI specialists
- Innovation Platform: Opportunity to contribute to pioneering discoveries in AI-enabled scientific research
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Research Focus Areas
Fellows are encouraged to propose research projects demonstrating how AI or machine learning can significantly improve scientific investigation. Specifically, projects should fall within one or more of the following disciplines.
- Mathematical Sciences
- Physical Sciences
- Life Sciences
- Medical Sciences and Biomedical Research
- Computational Science
- Data-driven scientific discovery
- AI-assisted experimentation and scientific modelling
- Machine learning applications in STEM research
- Advanced data analysis across scientific disciplines
Important: Projects must clearly explain how AI techniques will transform existing research methods or create entirely new research possibilities within the applicant’s STEM field.
Eligibility Criteria
The fellowship targets outstanding early-career STEM researchers with innovative AI-integrated research ideas. Review every condition carefully before applying.
- Doctoral Degree: Applicants must have completed, or be due to complete before the appointment date, a DPhil or PhD in Mathematical, Physical, Life, or Medical Sciences
- Research Idea: A clear and innovative research proposal demonstrating how AI or machine learning could significantly benefit the applicant’s scientific work
- AI Awareness: Sufficient understanding of AI concepts to explain how they could improve or expand the proposed research
- Ethical Awareness: Demonstrated understanding of the ethical implications of AI applications in scientific research
- Oxford Host Supervisor: Applicants must secure the support of an Oxford faculty member (Principal Investigator) within an eligible MPLS department who agrees to host them throughout the fellowship
- AI Mentor: Not compulsory, but applicants are strongly encouraged to identify an Oxford AI or machine learning academic mentor before applying
Who Is NOT Eligible
Before investing time in your application, confirm you do not fall into any of the following categories.
- Applicants who have not completed or are not due to complete a DPhil or PhD before the fellowship appointment date
- Researchers whose proposed work falls entirely outside the mathematical, physical, life, or medical sciences
- Applicants who have not secured the support of an eligible Oxford MPLS faculty member as their host supervisor
- Candidates who cannot demonstrate any understanding of AI concepts or their ethical implications
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Ethical Considerations
The fellowship explicitly requires applicants to address the ethical implications of their proposed AI research. Specifically, applications should demonstrate awareness of the following principles.
- Responsible AI use and deployment in scientific contexts
- Transparency and reproducibility of AI-assisted research
- Fairness and accountability in data use and model design
- Research integrity when applying machine learning to scientific problems
- Ethical deployment of AI technologies across the life and medical sciences
How to Apply for the Schmidt AI in Science Postdoctoral Fellowship 2026
Applications are submitted through Oxford’s Internal Research Award Management System (IRAMS). Therefore, begin by coordinating with your host department well before the October deadline.
- Secure a Host Supervisor: Contact an eligible Oxford MPLS faculty member and confirm their willingness to host you throughout the fellowship — this is mandatory before applying
- Identify an AI Mentor: Approach an Oxford AI or machine learning researcher to serve as your academic mentor — strongly recommended though not compulsory
- Consult Your Department: Speak with your departmental Research Facilitator and confirm any internal departmental deadlines, which may be earlier than the main October deadline
- Prepare Your Application: Draft your research proposal, addressing the scientific challenge, proposed AI techniques, expected outcomes, and ethical considerations in clear and accessible language
- Access IRAMS: Oxford-affiliated applicants submit directly through the IRAMS platform; external applicants receive support from the relevant departmental research team
- Submit Before the Deadline: Complete and submit your full application before October 16, 2026 at 12:00 noon
- Await Interview Invitation: Shortlisted candidates are invited to interview in December 2026
Also check: Rhodes Scholarship 2027 — Fully Funded Postgraduate at University of Oxford
Important Dates
| Event | Date |
|---|---|
| Applications Open | August 3, 2026 |
| Application Deadline | October 16, 2026 — 12:00 noon |
| Interview Period | December 2026 |
| Contact Email | saiis@dtc.ox.ac.uk |
Frequently Asked Questions
Yes. The fellowship is fully funded, covering the postdoctoral research position at the University of Oxford throughout the placement period.
No. The fellowship seeks researchers with strong scientific backgrounds and promising AI-integrated research ideas. You do not need to be an AI specialist — sufficient understanding of how AI could benefit your research is enough.
Yes. Applicants must secure the support of an eligible Oxford MPLS faculty member as their Principal Investigator before submitting their application.
The deadline is October 16, 2026 at 12:00 noon. Some departments may have earlier internal deadlines, so check with your Research Facilitator first.
Yes. External applicants receive support from the relevant Oxford departmental research team to upload their application through the IRAMS platform.
The fellowship covers Mathematical Sciences, Physical Sciences, Life Sciences, and Medical Sciences — any research that meaningfully integrates AI or machine learning into these fields.
Found this guide useful? Share it with a fellow STEM researcher in your network who is looking for a fully funded AI research fellowship at Oxford. For them, the Schmidt AI in Science Fellowship 2026 could mean everything.
Have questions about securing a host supervisor, writing your research proposal, or the IRAMS submission process? Drop them in the comments section below — we review and answer every serious query!
