Date Posted: 10/06/2026 Req ID: 50457 Faculty/Division: Faculty of Arts & Science Department: Acceleration Consortium Campus: St. George Downtown Toronto Description: The Acceleration Consortium AC, based at the University of Toronto U of T, is a global community of academia, industry, and government working to accelerate the discovery and development of advanced materials and molecules. The AC develops self-driving laboratories SDLs, autonomous research platforms that integrate artificial intelligence, robotics, automation, and advanced computing to dramatically reduce the time and cost of scientific discovery. AC Staff Scientists are highly skilled, experienced, and independent researchers that develop the AI and automation technologies required to build robust and scalable self-driving labs, manage these SDLs, and design and implement collaborative research programs that leverage the SDLs to accelerate discovery. Staff Scientists will advance SDL technologies and apply them to challenges in areas such as clean energy, sustainability, healthcare, and advanced manufacturing. The Acceleration Consortium AC promotes inclusive research environment and supports the EDI priorities of the unit. The Acceleration Consortium received a $200M Canadian First Research Excellence Grant for seven years to develop self-driving labs for chemistry and materials, the largest ever grant to a Canadian University. This grant will provide the Acceleration Consortium with seven years of funding to execute its vision. The AC operates and continuously develops seven SDLs as core facilities: SDL0 - A central AI and automation lab to advance the robotics and AI tools used in SDLs SDL1 - Inorganic solid-state materials for advanced materials and energy SDL2 - Organic small molecules for sustainability and health SDL3 - Medicinal chemistry for improving small molecule drug candidates SDL4 - Polymers for materials science and biological applications SDL5 - Formulations for pharmaceuticals, consumer products, and coatings SDL6 - Human organ mimicry with organoids / organ-on-a-chip SDL7 - Synthetic scale-up of materials and molecules University of British Colombia partner lab This posted position is for a role within SDL0: AI & Automation. Experience in one or more of the following is desired: Close collaboration with experimental scientists, achieving scientific objectives with AI-driven systems. Agentic and sequential decision-making for autonomous experimentation, including active learning and optimal experimental design. Generative and probabilistic modeling, including uncertainty estimation, risk-aware prediction, and data-efficient learning. Applied machine learning on real-world experimental or industrial data, including multivariate time-series and noisy, sparse, or incomplete datasets. Orchestration and control of self-driving laboratories, including experimental workflow automation, instrument integration, and real-time data processing. Staff Scientists w
