About the blog
About this Blog
The blog introduces the latest research of our Schmidt Sciences Postdoctoral Fellows. Focusing on artificial intelligence foundations and applications, it spotlights how our Postdoctoral Fellows use AI to advance their scientific research and push boundaries of the academic knowledge.
About the Fellowships
The I-X Centre for AI in Science hosts over 130 years of time of Eric and Wendy Schmidt AI in Science Postdoctoral Fellows, a program of Schmidt Sciences. Our prestigious fellows are given bespoke training and 1-on-1 career development support and join a collocated cohort of top scholars based in I-X. 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. Our fellows benefit from an Advanced Courses in AI Hub, pre-acceleration training material, appointment-specific faculty interview preparation and grant writing courses. The program is also supported by Imperial’s Chapman-Schmidt Fellowships and Imperial College Research Fellows and partners at AIMS with close partners including the CNRS and ICTP.
About the I-X Centre for AI in Science
This blog is ran by the I-X Centre for AI in Science. I-X is Imperial’s flagship AI initiative bringing AI together with interdisciplinarity and grand challenges. Our centre is dedicated to using AI to disrupt and advance Science, Engineering and Mathematics and is underpinned by core support from Schmidt Sciences.
Critical discoveries in the future will follow from the application and development of AI techniques to Engineering, Natural and Mathematical Sciences. Our planned and ongoing research extends from identifying candidate solutions to equations, through to computer vision for automated patch-clamping.
Our Centre exploits both the possibilities offered by modern AI, and speeds the evolution of new types of AI solving the well-defined challenges of particular areas of Science and Engineering.