From climate change to infectious disease, artificial intelligence (AI) can help us tackle the challenges that humanity faces by accelerating the pace of scientific research and development. The University of Toronto’s Eric and Wendy Schmidt AI in Science Postdocs program boosts the work of early-career scholars in engineering, mathematics and natural science by giving them vital tools in AI. Experience with AI is not a requirement, but applicants must have a desire to learn new AI methodologies that stand to accelerate discoveries in their domain.
The University of Toronto is Canada’s leading research university and the home of seminal work in artificial intelligence, from deep learning and neural networks to the interfaces between AI and the natural sciences.
The Eric and Wendy Schmidt AI in Science Postdoctoral Fellowship is supported by a $148 million donation from Schmidt Futures to nine universities across the globe, including the University of Toronto (U of T). The Fellowship will then expand to more countries and continents.
Collectively, the program will initially support approximately 160 postdoctoral fellows, to learn and apply AI methods to their research. Each university site will select a new cohort, comprised of up to 20 Fellows, annually for up to six years.
Schmidt Futures bets early on exceptional people making the world better. Founded by Eric and Wendy Schmidt, Schmidt Futures is a philanthropic initiative that brings talented people together in networks to prove out their ideas and solve hard problems in science and society.
This program is co-led by the directors of the University of Toronto’s Data Sciences Institute (Lisa Strug) and the Acceleration Consortium (Alán Aspuru-Guzik), with support from the Vector Institute.
Submit your application by Nov 21, 2022 for a chance to be part of the first cohort of Schmidt AI in Science Postdocs.