$75,000 per year (salary support of $70,000 and lab consumables of $5,000)
Up to 6 fellows per cohort
Ventures along the materials value chain; materials discovery, development, or manufacturing and recycling
Early-stage companies (early venture or growth) or even projects (pre-incorporation); however, start-ups at all levels of maturity will be considered
Material informatics; tools and processes for materials recycling; biomanufacturing; smart materials; graphene and nanomaterials; materials for energy storage
For early-career scholars in engineering, mathematics and natural sciences interested in applying AI to their work. 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.
University of Toronto
Canada, United States, United Kingdom, Europe, Asia
Global issues demand a global response. To create a healthier, sustainable future, we need new materials quickly. We will get there faster, together.
To exchange resources and knowledge, to co-develop standards and best practices, and to connect key players in the value chain to expedite research translation and commercialization
Up to 6 months
Researchers will have expertise in the application of AI and automation to a wide variety of fields and/or drive the implementation of self-driving lab technology
Participants will have the opportunity to collaborate with research groups across U of T's three campuses in Toronto, Scarborough, and Mississauga