Advance automated materials discovery at the University of Toronto in downtown Toronto, using high-throughput experimentation and AI/ML data analysis.

This two-year Research Associate appointment supports SDL1, the Acceleration Consortium’s inorganic materials program. Working under Staff Scientists and Senior Staff Scientists, you will conduct research across synthesis, processing, characterization, testing, and application-driven evaluation. The position contributes to self-driving laboratory research within a multidisciplinary and international team.

Key Responsibilities:

- Conduct automated, high-throughput inorganic materials discovery research
- Design workflows investigating structure-property-performance relationships
- Optimize monitoring, data acquisition, feedback, and reproducibility controls
- Analyze datasets using computational, statistical,



and AI/ML methods
- Contribute to protocols, documentation, reports, manuscripts, and presentations

Requirements:

- PhD in engineering, materials science, chemistry, mechatronics, or related field
- At least one year researching automated or high-throughput experimental systems
- Experience operating laboratory automation platforms
- Hands-on instrumentation and characterization experience, including SEM or XRD
- Experience with inorganic catalytic materials and energy conversion

Apply automated experimentation, materials characterization, and AI/ML analysis as a Research Associate supporting SDL1 at the University of Toronto.

📌 Automated Materials Research Associate (Toronto)
🏢 University of Toronto
📍 Toronto