Senior Staff Scientist
2 months ago
Date Posted: 11/15/2024
Req ID: 40702
Faculty/Division: Faculty of Arts & Science
Department: Acceleration Consortium
Campus: St. George (Downtown Toronto)
Description:
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 Senior Staff Scientists will advance the field 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.
Expertise that is desired: Polymer synthesis
- Synthesis and purification of polymers
- Combinatorial synthesis of sequence-defined polymers such as biopolymers
Additional expertise that is desired (but not required): Automation
- Robotics and automation
- Machine learning to accelerate the discovery of molecules and materials
- Experimental planning and design/optimization
- Programming and high-performance computing
The components and duties of the work include:
SDL and Automation Development
Working with the AC community, including faculty and partners to determine the required capabilities of the SDLs to be built. Developing customized hardware and Python software packages to build SDLs. Selection, procurement, and installation of the equipment required for SDLs.
Facility Management and Operations
Working with the department of Chemistry, Facilities and Operations, and AC research staff to ensure that the AC labs are fully operational.
Research Direction
Working as a co-investigator, in partnership with the Principal Investigator, independent management, development, and execution of research programs that leverage the AC’s SDLs. Using SDLs to synthesize and characterize large quantities of candidate molecules, calibrating theoretical models with experimental data, predicting promising candidates with computational tools and machine learning algorithms, and elucidating structure-property relationships of emerging molecules, polymers, solid-state materials, formulations, etc.
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