Applications are invited for prestigious Chapman Schmidt AI in Science Fellowships, a program of Schmidt Sciences, commencing 01 September 2027. There are up to 2 positions available, with a duration of 2 years. The fellowship MUST start on or before 01 September 2027 as the grant funding ends on 31 August 2029.
The Chapman Schmidt AI in Science Fellows will produce independent and original research, using AI to advance science, within the Maths 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 as discussed by one of our alumni here.
Candidates will:
- Hold 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.
- Be expected to have several years of experience post-PhD (in research or AI-based industry) and experience supervising team members.
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 ([email protected]) at ICR and Carl Iamov [email protected] and/or Louis Avigdor [email protected] at CNRS to confirm these internal processes and deadlines.
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 alumni 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.
This is a full time, fixed term position for 2 years. You will be based at White City Campus and will have a primary mentor in the Maths Department.
If you have any queries about this opportunity, please contact Eileen Boyce at [email protected]
Further information about the I-X Centre for AI in Science can be found at https://www.imperial.ac.uk/ix-ai-in-science/apply/ which includes an introductory video.
Links to other opportunities can be found here. If candidates want to also be considered at the Research Associate level, then they need to send in an additional application for that role (the documents submitted can be repeated).
Applicants interested in 4-year roles should apply for the Imperial College Research Fellowships, supported by Schmidt Sciences – application details can be found here.
In addition to completing the online application, candidates should, after carefully consulting the Job Description, FAQ and related documents, upload the following documents:
- A full CV including publications.
An additional single file with:
- Publication Elaboration: a 1 page, or less, note outlining the contribution of up to three papers by the applicant suitable for a general scientific reader.
- Research Proposal Summary: a 1 page or less, summary of the proposed research suitable for a general scientific audience. Particular attention will be paid to this summary. It should answer the question of why/how this application of AI will be transformative for the target area of science. The proposal should start by confirming the primary mentor who supports the application – the primary mentor MUST be within the Maths Department, but others could be outside. Mentors must be contacted in advance of the application. It is not essential that the mentor be a very close fit to the proposed research, entirely independent research efforts are welcomed, but a collaborative mentorship is likely to make the science more credible.
- Research Proposal: a 3 pages or less proposal that explains why and how the proposed research could be transformative for a particular area of science. It can be structured around background, a small number of hypotheses/aims, and work packages. It can be assumed that the reader will first read the Summary and so content need not be repeated.
- Training Plan: a ½ page or less plan, identifying any particular skills that need to be acquired for the proposed research to succeed. Training is a key part of the proposed fellowship, whether helping an AI expert master a scientific topic or a scientific topic expert advance their AI skills. Deep expertise in AI (or the particular Science area) is not a pre-requisite: the minimum level of AI/Science experience is that needed to credibly articulate a plan for how AI will advance Science.
- Fit to AI in Science Remit: a ¼ page or less outline of how your proposal fits within the AI in Science remit – please check your proposal’s fit here.
- Kindness Statement: a ¼ page or less outline of your view on the need for kindness among scientists. The fellows will join a cohort of fellows in AI for Science with opportunities for outreach and LMIC engagement.
- Mobility Statement (for applicants currently at Imperial only): Schmidt Sciences seeks to enable national and international mobility: candidates from outside Imperial are particularly encouraged to apply. Candidates that are already in Imperial are asked to supply several sentences in their mobility statement outlining, in a distinctive and compelling manner, how remaining in Imperial is the best route for their personal growth. Applicants from Imperial are required to move from their existing supervisor to entirely new mentors for their Chapman Schmidt Fellowship, to increase both their independence and their breadth of experience (existing mentors cannot become secondary mentors).
Attached documents are available under links. Clicking a document link will initialize its download.
