Chapman-Schmidt AI in Science Postdoctoral Fellows, a program of Schmidt Sciences (Research Fellow)

Imperial College London; London; On-site; GBP 35,000 - 50,000; Full time

Job summary

A prestigious research institution in London is seeking candidates for the Chapman-Schmidt AI in Science Postdoctoral Fellowship. This full-time, 2-year role involves producing original research utilizing AI to advance various scientific fields. Applicants should hold a PhD and demonstrate leadership potential through their research history. The fellowship offers tailored training, career development, and a focus on scientific advancement through AI applications.

Benefits

Tailored training and career development

Support for women in AI

Qualifications

• Must hold a PhD in a relevant discipline.
• Demonstrate potential for leadership through research.
• Have an outstanding research record, including publications.

Responsibilities

• Produce independent and original research using AI.
• Join the Eric and Wendy Schmidt Network of researchers.
• Explore AI applications within a specific scientific area.

Skills

Leadership in research

Outstanding research record

Experience supervising team members

Initiative in research projects

Education

PhD or equivalent in an appropriate discipline

Job description

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Chapman-Schmidt AI in Science Postdoctoral Fellows, a program of Schmidt Sciences (Research Fellow), London

Client:

Imperial College London

Location:

London, United Kingdom

Job Category:

Other

EU work permit required:

Yes

Job Reference:

b5570d934f79

Job Views:

20

Posted:

12.08.2025

Expiry Date:

26.09.2025

Job Description:

Applications are invited for prestigious Chapman Schmidt AI in Science Fellowships, a program of Schmidt Sciences, commencing 1 September 2026. There are 2 positions available, with a duration of 2 years.

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 aim to identify excellent researchers and accelerate their use of AI to advance and disrupt Science or Engineering. AI is interpreted broadly, including topics like Bayesian Inference and Robotics; Science covers natural sciences and engineering, excluding clinical medical themes and 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; candidates must aim to substantially advance a specific scientific area. Applicants may see themselves as AI researchers tackling scientific problems or science researchers using AI to transform their field. Extensive AI knowledge is not required, as training is provided.

Candidates will:

• Hold a PhD (or equivalent) in an appropriate discipline.
• Demonstrate potential for leadership in the subject, e.g., through initiative in research projects.
• Have an outstanding research record, including thesis, publications, conference presentations, or code.
• Propose research within the AI in Science remit.
• Have several years of post-PhD research or industry experience and experience supervising team members.

Fellows will join the Eric and Wendy Schmidt Network of researchers and a cohort based at the I-X Centre for AI in Science, with tailored training and career development. The fellowships are flexible and independent, allowing exploration while drawing on faculty mentors.

Additional support is available for women in AI in Science, including funds for career development and a community of women in AI. The I-X Women in Artificial Intelligence aims to enhance women’s representation and support their full potential.

This is a full-time, fixed-term, 2-year position based at White City Campus, with a primary mentor in the Maths Department.

Links to other opportunities can be found [insert link]. Candidates interested in Research Associate roles should submit an additional application. For 4-year roles, apply for the Imperial College Research Fellowships supported by Schmidt Sciences [insert link]. Additional Schmidt Sciences Fellowship roles at both levels are available [insert link].