Full Time Staff Scientist

1 day ago

Old Toronto, Canada University of Toronto Full time
p>Date Posted: 05/24/2024
Req ID:37417
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 Research 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.

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>

The AC is developing seven advanced SDLs plus an AI and Automation lab:

  • 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

This posted position is for a Staff Research Scientist within the AI and Automation Lab.

AI and computational expertise

  • Adaptive AI-driven closed-loop experimental design and analysis (such as with Bayesian optimization)
  • AI-accelerated discovery of materials and molecules
  • Accelerating first principles calculations of materials and molecules with AI

Automation / robotics expertise

  • High-throughput experimentation (rapid serial and/or highly-parallel experimentation)
  • Lab automation and robotic manipulation of lab operations

The Staff Research Scientists will work with a diverse team of leading experts at U of T, including: p>

We are hiring both Staff Scientists and Staff Research Scientists. While Staff Scientists are expected to have 5 years of post-PhD experience, individuals with a relevant Ph.D. and associated expertise can qualify for Staff Research Scientist.

The Staff Research 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. Moreover, the Staff Research Scientists will work collectively, sharing knowledge among each other, faculty, and trainees. This role will report to the Academic Director and Executive Director of the Acceleration Consortium.

  1. 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.

  2. Research Direction

    Develop 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.

    • Implementing 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.
    • Working with Product Managers to ensure research outcomes meet partner requirements.
    • 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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