Join Our Innovative Team as a Senior Staff Scientist at the University of Toronto's Acceleration Consortium

Date Posted: 05/24/2024

Location: St. George Campus, Downtown Toronto

Appointment Type: Grant - Continuing

Salary Range: $150K - $180K (commensurate with experience and qualifications)

Overview

The University of Toronto's Faculty of Arts & Science is home to the Acceleration Consortium (AC), a pioneer in the integration of artificial intelligence (AI), robotics, materials sciences, and high-throughput chemistry. Our ambition is to revolutionize scientific discovery and technological innovation through advanced self-driving laboratories (SDLs) or materials acceleration platforms (MAPs). These advancements aim to tackle some of the most pressing global challenges including climate change, water pollution, and pandemics.

The AC has been awarded a substantial $200M Canadian First Research Excellence Grant, ensuring seven years of funding to fulfill our transformative vision. Currently, we are developing seven cutting-edge SDLs across various scientific domains, and we invite you to contribute to this groundbreaking work.

Job Description

We are seeking a Senior Staff Scientist for our AI and Automation Lab to lead and innovate in AI-driven autonomous discovery. This role involves significant autonomy in designing and executing research programs that leverage AC’s SDL platforms to pioneer new materials and molecules.

Key Responsibilities:

• Lead the development and operation of SDLs, encompassing everything from hardware and software design to equipment procurement and installation.
• Manage and oversee laboratory operations, ensuring all facilities are fully functional and effectively support the AC's research objectives.
• Direct independent research projects and collaborate with principal investigators, managing the scientific and strategic development of these initiatives.
• Engage with AC’s faculty, industry partners, and external agencies to foster research collaborations and secure funding.
• Produce high-quality scientific publications and present research findings at major conferences.

Desired Expertise:

• Generative modelling, Bayesian optimization, and reinforcement learning.
• Experience with simulation-based inference and multi-modal foundation models.
• Strong background in AI, automation, and the development of self-driving laboratories.

Qualifications

Required: Ph.D. in Chemistry, Materials Science, Engineering, Computer Science, or a related field.

Experience: At least 10 years in R&D with a robust track record in managing large-scale research projects, preferably within an interdisciplinary team.

Why Join Us?

At the University of Toronto's Acceleration Consortium, you will be part of a vibrant community that is shaping the future of materials science and technology. Here, innovation is continuous and supported by a substantial long-term grant. We are dedicated to fostering an inclusive workplace that upholds the values of equity, diversity, and inclusion.

Don’t miss this opportunity to make an impact on global scientific and technological landscapes. We are accepting applications on a rolling basis, so early submissions are encouraged. Canadian citizens and permanent residents will be prioritized.

Application Deadline: 07/31/2024, 11:59 PM ET

Join us in paving the path towards a sustainable and technologically advanced future. Apply now to become a part of something truly transformative!