Lab Technician (2 years term, onsite)

Reporting to the Executive Director, Acceleration Consortium and working under the guidance of (Senior) Research Associates, this position will play a pivotal role in supporting research projects focused on accelerating the discovery of newmaterials and molecules using self-driving labs. This position is located across all of the SDLs at the AC. Each lab is engaged in autonomous, AI-driven discovery to advance materials discovery and optimization for a wide range of materials systems and technologies including chemical reactions, drug discovery and development, polymeric materials, pharmaceuticals and formulations, and autonomous biological characterization. As a Lab Technician, you will work with a multidisciplinary team of engineers, scientists, and industry stakeholders to set up labs and develop automated platforms for materials science and chemistry. Example design projects include: developing application interface programming (API) wrappers to interface with other open source projects, developing and orchestrating lab tasks and workflows through APIs from a centralized interface, documenting and standardizing the code developed in this process, training users to use the interface and developed wrappers/drivers, and reporting tasks therein.

The Faculty of Arts & Science is the heart of Canada's leading university and one of the most comprehensive and diverse academic divisions in the world. The strength of Arts & Science derives from our combined teaching and research excellence in the humanities, sciences and social sciences across 29 departments, seven colleges and 46 interdisciplinary centres, institutes and programs. The Acceleration Consortium (AC) at the University of Toronto (U of T) is leading a transformative shift in scientific discovery that will accelerate technology development and commercialization. The AC is a global community of academia, industry, and government that leverages the power of artificial intelligence (AI), robotics, materials sciences, and high-throughput chemistry to create self-driving laboratories (SDLs), also called materials acceleration platforms (MAPs). These autonomous labs rapidly design materials and molecules needed for a sustainable, healthy, and resilient future, with applications ranging from renewable energy and consumer electronics to drugs. AC Staff Scientists will advance the infield of AI-driven autonomous discovery and develop the materials and molecules required to address society's largest challenges, such as climate change, water pollution, and future pandemics.