Research Associate in AI-Driven Materials Science

Be part of U of T’s groundbreaking research as a Research Associate focusing on AI and materials science. This one-year role emphasizes the integration of machine learning in laboratories.

The Acceleration Consortium at the University of Toronto is seeking a Research Associate to contribute to the development of self-driving laboratories. You will play a pivotal role by applying machine learning methods, improving characterization workflows, and enhancing robotic automation. This research will positively impact materials discovery for a sustainable future.

Key Responsibilities:

• Apply machine learning for autonomous materials discovery

• Manage data curation across synthesis and characterization

• Operate and maintain advanced characterization tools

• Develop robotic workflows for high-throughput tasks

• Work with scientists on material application demonstrations

Requirements:

• PhD in Materials Science and Engineering

• At least 1 year of relevant research experience

• Skills in soft and inorganic materials characterization

• Leadership and project management capabilities

• Commitment to fostering inclusive research environments

Contribute your expertise in pioneering materials science at the University of Toronto.
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