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in PDF/MS Word format. If you have any questions about this position, contact Prof. Joel Levine at chairsec.eeb@utoronto.ca . All application materials, including names and contact information
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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
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, engineering, robotics, computer science, or related discipline Experience Five (5) to 10 years of experience (inclusive of PhD and/or post-graduate work) in accelerated R&D in the area of cheminformatics and
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, materials science, life sciences, physics, engineering, robotics, computer science, applied mathematics or related discipline Experience 1 to 5 years of experience (inclusive of PhD and/or post-graduate work
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date of January 1, 2026. Applicants must have earned a PhD degree in engineering, mathematics, statistics, or a related area by the time of appointment, or shortly thereafter with a demonstrated record
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combine additional application materials into one or two files in PDF/MS Word format. If you have any questions about this position, please contact Prof. Markus Bussmann at chair@mie.utoronto.ca . All