2 Year AI in Science Fellowships, supported by Schmidt Sciences
About the role:
Applications are invited for prestigious Eric and Wendy Schmidt AI in Science Fellowships, a program of Schmidt Sciences, commencing 1 September 2027.
- Up to six 2-year independent Eric and Wendy Schmidt fellowships dedicated to AI in Science in a program supported by Schmidt Sciences. Further details here (Research Associate level) & here (Research Fellow level)
- Up to two 2-year independent Chapman-Schmidt fellowships dedicated to AI in Science in a program supported by Schmidt Sciences. Further details here
What you would be doing:
The Eric and Wendy Schmidt Ai in Science Fellows will produce independent and original research, using AI to advance science within their host department and the I-X Centre for AI in Science. These fellowships have the aim of identifying excellent researchers and accelerating them in using AI to advance and disrupt Science or Engineering. Here ‘AI’ is interpreted very broadly, e.g.: topics in Bayesian Inference and Robotics; ‘Science’ covers any typical topic in Natural Science and Engineering (Epidemiology, Biology and basic science in biomedicine are included but clinical medical themes are not covered, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML for turbine design and astrostatistics. These posts are not suitable for generic AI research with general application: candidates must be aiming to substantially advance a particular area of science. Applicants could view themselves as AI researchers tackling particular pieces of science or science researchers using AI to transform their area. Extensive AI knowledge is not required, and AI training is offered.
What we are looking for:
Candidates will:
- Hold, or be near completion of, a PhD (or equivalent) in an appropriate discipline.
- Have the potential for leadership qualities in the subject, as illustrated, for example, through showing initiative on research projects.
- Have an outstanding research record commensurate with their level of experience as demonstrated, for example, through an outstanding thesis, publications, conference presentations, code etc.
- Have a proposal which is within the AI in Science research remit and skills which fit the cohort of AI in Science fellows.
- For the RF positions candidates will be expected to have several years of experience post-PhD (in research or AI-based industry) and experience supervising team members
What we can offer you:
Fellows will join the Eric and Wendy Schmidt Network of researchers and will join a unique co-located cohort of top scholars based in the I-X Centre for AI in Science with tailored training and one-on-one career development. The fellowships are flexible and independent, allowing recipients to freely explore while drawing on expert faculty mentors of their choice.
We have a programme of additional support for women in AI in Science including a coaching circle for women in AI, additional funds for their career development and a community of I-X AI in Science women. The I-X Women in Artificial Intelligence (IXWAI) founded by two of our current Fellows aims to enhance representation of women in AI and foster an environment where they are valued, supported and inspired to achieve their full potential. We expect to appoint at least one candidate through this route.
Further Information
These are full time, fixed term position for 2 years. You will be based at White City Campus.
Candidates who have not yet been officially awarded their PhD will be appointed as a Research Assistant.
If you have any queries about these opportunities, please contact Eileen Boyce at e.boyce@imperial.ac.uk
Joint Fellowships
We have partnered with the Institute of Cancer Research (ICR) and the CNRS. If you are applying for one of these joint fellowships, we require that the principal mentor be in Imperial, but a secondary supervisor must be at ICR/CNRS. Please indicate if this is a joint fellowship by ticking the appropriate ICR/CNRS tick box in the online application form. Please note that these applications will require an institutional letter of support and ICR and CNRS will have their own internal process with a deadline ahead of the closing date below. The ICR deadline will be Monday 29th June at 9am. You must contact Becky Cook (rebecca.cook@icr.ac.uk) at ICR and Carl Iamov carl.ialamov@cnrs.fr and/or Louis Avigdor louis.avigdor@cnrs-dir.fr at CNRS to confirm these internal processes and deadlines