Senior Staff Scientist
1 day ago
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.
The Acceleration Consortium (AC) promotes an inclusive research environment and supports the EDI priorities of the unit.
Hiring is occurring on a rolling intake. Please apply ASAP and do not wait for the listed job closing date.
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>
- SDL1 - Inorganic solid-state compounds for advanced materials and energy
- SDL2 - Organic small molecules for sustainability and health
- SDL3 - Medicinal chemistry for improving small molecule drug candidates
- SDL4 - Polymers for materials science and biological applications
- SDL5 - Formulations for pharmaceuticals, consumer products, and coatings
- SDL6 - Biocompatibility with organoids / organ-on-a-chip
- SDL7 - Synthetic scale-up of materials and molecules (University of British Columbia partner lab)
- A central AI and Automation lab to support all the SDLs
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
Staff Scientists will work with a diverse team of leading experts at U of T, including: Prof. p>
The Senior 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.
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.
- 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 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.
- Managing the research and development projects of AC’s industry partners when implemented in AC labs.
- Developing plans that support research collaborations and planning and estimating financial resources required for programs and/or projects.
- Supervising the work of Staff Scientists, Software Engineers, Research Associates, and Post-doctoral Fellows.
- Working with Product Managers to ensure research outcomes meet partner requirements.
- Monitoring and reporting on relevant research activity to the Academic Director and Executive Director.
- Promoting AC’s research capacity, including delivering presentations at conferences.
- Collaboration in the preparation and submission of research proposals to granting agencies and progress reporting.
- Support research-focused events such as the Annual Symposium.
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