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

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

Full-Time 62433 - 62433 € / year (est.) No home office possible
Imperial College London

At a Glance

  • Tasks: Conduct groundbreaking research using AI to transform science and engineering.
  • Company: Join Schmidt Sciences at Imperial College, a leader in AI research.
  • Benefits: Competitive salary, flexible work environment, and tailored career development.
  • Other info: Be part of a supportive network promoting women in AI.
  • Why this job: Make a real impact in science with innovative AI applications.
  • Qualifications: PhD or near completion in a relevant field; strong research potential.

The predicted salary is between 62433 - 62433 € per year.

Job Type: Full-Time. Starting Salary: Up to 62433 per annum plus benefits.

About the role

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.

What you would be doing

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 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.

What we are looking for

  • 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.

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 at ICR and Carl Iamov and/or Louis Avigdor at CNRS to confirm these internal processes and deadlines.

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 AI 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. Candidates who have not yet been officially awarded their PhD will be appointed as a Research Assistant.

If you have any queries about this opportunity, please contact Eileen Boyce.

Further information about the I-X Centre for AI in Science can be found at which includes an introductory video. Fellowships are also available for more experienced researchers. Links to other opportunities can be found here. If candidates want to also be considered at the Research Fellow 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.

Further information

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.
  • 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 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 page or less outline of how your proposal fits within the AI in Science remit - please check your proposal's fit.
  • Kindness Statement: a page or less outline of your view on the need for kindness among scientists.
  • 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.

Chapman-Schmidt AI in Science Postdoctoral Fellows, a program of Schmidt Sciences (Research Associate) - London employer: Imperial College London

Schmidt Sciences offers an exceptional work environment for the Chapman-Schmidt AI in Science Postdoctoral Fellows, fostering a culture of innovation and collaboration at the cutting-edge I-X Centre for AI in Science in London. With tailored training, one-on-one career development, and a strong commitment to diversity, including support for women in AI, this fellowship provides unique opportunities for meaningful research and professional growth in a vibrant academic community. Join us to explore transformative applications of AI in science while being part of a prestigious network of scholars.

Imperial College London

Contact Detail:

Imperial College London Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Chapman-Schmidt AI in Science Postdoctoral Fellows, a program of Schmidt Sciences (Research Associate) - London

Tip Number 1

Network like a pro! Reach out to current or former fellows and mentors in the AI in Science field. They can provide insider info and might even put in a good word for you.

Tip Number 2

Prepare for your interview by practising common questions and showcasing your research proposal. Make sure you can clearly explain how your work will transform science using AI.

Tip Number 3

Don’t underestimate the power of a follow-up! After interviews, send a thank-you email expressing your enthusiasm for the role. It shows professionalism and keeps you on their radar.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, you’ll find all the resources you need to ace your application.

We think you need these skills to ace Chapman-Schmidt AI in Science Postdoctoral Fellows, a program of Schmidt Sciences (Research Associate) - London

AI Research
Bayesian Inference
Robotics
Machine Learning
Data Analysis
Research Proposal Development
Scientific Writing

Some tips for your application 🫡

Read the Job Description Carefully:Before you start writing, give the job description a good read. It’s packed with info on what we’re looking for, and it’ll help you tailor your application to show us you’re the perfect fit!

Craft a Compelling Research Proposal:Your research proposal is key! Make sure it clearly outlines how your work will transform a specific area of science using AI. Keep it concise and engaging – remember, we want to see your passion shine through!

Highlight Your Achievements:Don’t be shy about showcasing your accomplishments! Whether it’s publications, presentations, or your thesis, make sure to highlight what makes you stand out. We love seeing candidates who have a strong track record!

Apply Through Our Website:When you’re ready to submit, make sure to apply through our website. It’s the easiest way for us to keep track of your application and ensures you don’t miss any important steps in the process!

How to prepare for a job interview at Imperial College London

Know Your Research Proposal Inside Out

Make sure you can discuss your research proposal in detail. Be prepared to explain how your work will transform a specific area of science using AI. Practise summarising your proposal in simple terms, as you might need to communicate complex ideas to those outside your field.

Showcase Your Leadership Potential

Demonstrate your initiative and leadership qualities during the interview. Share examples from your past research projects where you took charge or led a team. This will help the interviewers see your potential to contribute to the collaborative environment at the I-X Centre.

Familiarise Yourself with the AI in Science Remit

Understand the specific areas of AI in science that the fellowship focuses on. Be ready to discuss how your background and skills align with their goals. This shows that you’re not just interested in AI, but in applying it meaningfully within the scientific community.

Prepare Thoughtful Questions

Have a list of insightful questions ready for your interviewers. This could include inquiries about mentorship opportunities, collaboration with other researchers, or the support available for women in AI. Asking thoughtful questions demonstrates your genuine interest in the role and the organisation.