AI-Driven Materials Engineer

7 days ago


Mississauga, Ontario, Canada University Of Toronto Full time
Research Opportunities

The Acceleration Consortium offers a unique opportunity for a Senior Staff Scientist to contribute to cutting-edge research projects in AI-driven materials discovery. This individual will work closely with a diverse team of leading experts at U of T, including Prof. Helen Tran, Prof. Dwight Seferos, and Acceleration Consortium Staff Scientists, to advance the field of materials discovery and develop materials and molecules required to address some of humanity's most pressing challenges.

The successful candidate will be responsible for designing novel instruments for automated material synthesis and characterization, developing customized hardware and Python software packages to build SDLs, and overseeing the activities of laboratory technicians servicing the labs. Additionally, they will work closely with industry partners to develop and execute research programs that leverage the AC's SDLs and support the research objectives of AC faculty and industry partners.

This role requires a strong background in polymer synthesis, experience working with Principal Investigators or as a Project Director, and expert knowledge of AI and automation. The ideal candidate will possess a Ph.D. in chemistry, materials science, life sciences, physics, engineering, robotics, computer science, or a related discipline, and have over 10 years of experience in accelerated research and development.

This is an excellent opportunity for a talented researcher to contribute to cutting-edge projects, collaborate with top experts, and drive meaningful innovation.
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