Staff AI Scientist for Self-Driving Labs

University of Toronto; Toronto; On-site; CAD 56,000 - 104,000; Full time

Job summary

University of Toronto invites applications for a Staff Research Scientist (AI for Self-Driving Labs, 2-year Term) based at the Acceleration Consortium in Toronto. You will develop AI and automation to build and operate SDLs, lead research projects, and collaborate with faculty, industrial partners, and government collaborators.

The role requires a Ph.D. in a relevant field, 1–5 years of post-PhD experience in AI for science, and a proven publication record.

Qualifications

• Education: Ph.D. in Computational Chemistry, Software Engineering, Physics, Chemistry, Materials Science, Biology, or equivalent.
• Strong experience with AI for self-driving labs and automation.
• Experience managing research projects and collaborating with industry partners.

Responsibilities

• Develop AI and automation tools for SDLs and autonomous experimentation.
• Lead research programs leveraging SDLs to advance materials discovery.
• Prepare manuscripts and reports for peer-reviewed journals and funders.

Skills

Python

LATEX

Git

Microsoft Office

Education

Ph.D. in Computational Chemistry, Software Engineering, Physics, Chemistry, Materials Science, Biology, or equivalent

Job description

University of Toronto invites applications for a Staff Research Scientist (AI for Self-Driving Labs, 2-year Term) based at the Acceleration Consortium in Toronto. You will develop AI and automation to build and operate SDLs, lead research projects, and collaborate with faculty, industrial partners, and government collaborators.

The role requires a Ph.D. in a relevant field, 1–5 years of post-PhD experience in AI for science, and a proven publication record.