Senior Staff Scientist
2 days ago
Req ID:30502
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 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.
The Acceleration Consortium received a $200M Canadian First Research Excellence Grant for seven years to develop self-driving labs for chemistry and materials, the largest ever grant to a Canadian University. p>
- Inorganic solid-state materials,
- Organic small molecules for advanced materials,
- Drug discovery with chemical probes,
- Polymers for materials science and biological applications,
- Formulations for pharmaceuticals, consumer products, and coatings,
- Biocompatibility (organ-on-a-chip), and
- Synthetic scale-up of materials and molecules.
We are hiring staff scientists to develop the hardware and software needs for each of these SDLs and to conduct research programs leveraging these labs for materials and molecule discovery.
The Staff Scientists involved in the AC are highly skilled and experienced researchers who will work independently to develop the AI and automation technologies 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. This role will report to the Academic Director and Executive Director of the Acceleration Consortium. We are looking for individuals with diverse backgrounds and expertise to support the development of Self-Driving Labs and materials discovery.
- Artificial Intelligence / Automation
- Automated Chemical Synthesis and Characterization
- Drug Discovery / Medicinal Chemistry
- Organ on a chip / Organoid
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. Selecting, 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 the AC labs are fully operational. Overseeing the activity of the laboratory technicians servicing the labs. Supporting the selection, procurement, and installation of equipment. Managing laboratory budgets. Scheduling and coordinating lab access.
- 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 and support 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.
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