Number of Applicants
:000+
Date Posted: 03/29/2023
Req ID: 30501
Faculty/Division: Faculty of Arts & Science
Department: Dept of Chemistry
Campus : St. George (Downtown Toronto)
Description:
The Acceleration Consortium (AC) is leading a transformative shift in scientific discovery, accelerating technology development and commercialization. The Consortium, a coalition of entrepreneurs, technology companies and leading researchers from top universities, is leveraging the power of artificial intelligence (AI), robotics, materials sciences, and high-throughput quantum chemistry to create Self-driving Laboratories (SDL), also called Materials Acceleration Platforms. These autonomous laboratories will rapidly design high-performance materials and molecules, with applications ranging from renewable energy and consumer electronics to drugs. As part of a large Canadian government initiative, AC is funded for seven years to develop advanced laboratories that carry out fundamental SDL research and apply it to relevant scientific and engineering challenges in collaboration with AC community members such as faculty and industry.
The Staff Scientists involved in the AC are highly skilled and experienced researchers who will work independently to develop AI and automation technologies. They will be required to build robust and scalable self-driving labs, manage these SDLs, and design and implement research programs (based on the direction of the AC's scientific leadership team) that leverage the SDL platforms to discover materials and molecules.
AC Staff Scientists will advance the state-of-the-art in AI-driven autonomous discovery and develop the materials and molecules required to address society's largest challenges, such as climate change. Staff Scientists will operate with a significant degree of autonomy and latitude on how to achieve the ambitious goals.
This role will report to the Academic Director and Executive Director of the Acceleration Consortium.
The components and duties of the work include:
Working with the AC community, including faculty and partners, to determine the required capabilities of the SDLs to be built. Developing SDL plans to meet user requirements and designing novel instruments for automated material synthesis and characterization. Developing customized hardware and Python software packages to build SDLs. Selecting, procurement, and installation of the equipment required for SDLs.
Working independently to develop research programs that leverage the AC's SDLs and supports the research objectives of AC faculty and industry partners. 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.
Tasks include:
MINIMUM QUALIFICATIONS:
Education
Ph.D. in Physical/Material Chemistry or related discipline
Experience
Skills
Other
Closing Date: 06/30/2023,11:59PM ET
Employee Group: Research Associate
Appointment Type : Grant - Continuing
Schedule: Full-Time
Pay Scale Group & Hiring Zone:
Job Category: Research Administration & Teaching
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