Staff Scientist in Quantum for AI-Accelerated Materials Discovery

The Acceleration Consortium at the University of Toronto seeks an experienced Staff Scientist to advance quantum algorithms—such as Quantum Phase Estimation, Variational Quantum Eigensolver, and Quantum Machine Learning—for accelerating materials and molecule discovery. The role involves developing hybrid quantum-classical AI models, evaluating quantum algorithms for molecular simulation, and implementing modular APIs to connect quantum backends with classical chemistry pipelines. The successful candidate will collaborate with experimental chemists, materials scientists, and ML researchers to validate predictions and translate lab constraints into predictive models. This position supports the Consortium’s seven self-driving labs (SDLs) focused on clean energy, sustainability, healthcare, and advanced manufacturing, leveraging a $200M federal grant. The role reports to the Academic and Executive Directors and contributes to research programs, software development, industry...