Chapman-Schmidt AI in Science Fellowships
Applications are invited for prestigious Chapman-Schmidt Fellowships in AI for Science, a program of Schmidt Futures, in the Department of Mathematics and I-X, commencing September 2023. There are several positions available, which will each be fixed term for 2 years. Fellows will join the Eric and Wendy Schmidt Network of researchers. The fellows will join a unique collocated cohort of top scholars 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. 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., from traditional machine learning to topics in Bayesian Inference or Control Theory. ‘Science’ covers any typical topic in Natural Science and Engineering (Epidemiology, Biology and basic science in biomedicine are included but very clinical medical themes are not covered, including conventional medical imaging). Some examples include: AI assistants for theorem proving; Bayesian optimization for molecular design; machine learning for single cell data; or diverse topics in astrostatistics. These posts are not suitable for research into generic AI methods with general application: candidates must be aiming to substantially advance a particular area of Science. The Chapman-Schmidt fellows will be based within the I-X campus alongside ~20 other Eric and Wendy Schmidt AI in Science Postdoctoral Fellows within Imperial’s Eric and Wendy Schmidt Centre for AI in Science Postdoctoral Fellows, and working alongside other AI researchers including from the Department of Mathematics.
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Application process takes place throughout the year. Please view vacancies website.