Postdoctoral Researcher in Formulations: The Acceleration Consortium at the University of Toronto is seeking a highly motivated Postdoctoral Researcher to develop and implement self-driving laboratories for the advancement of novel heat dissipating formulations. This interdisciplinary role combines automation, machine learning, materials science, and innovation.
Designation
Postdoctoral Researcher – Formulations, Self-Driving Laboratory for Advanced Materials Development
Job Details
| Detail | Information |
|---|---|
| Research Area | Advanced Materials Development, Formulation Science, Machine Learning |
| Location | University of Toronto, Faculty of Arts and Sciences, Toronto, Canada |
| Eligibility/Qualification | Ph.D. in Physical Chemistry, Material Sciences, Chemical Engineering, Mechanical Engineering, or a related field |
| Salary Range | $65,000 to $75,000 (based on skills and experience) |
| Appointment Type | Contract (1-year) |
| Schedule | Full-Time |
Job Description
The successful candidate will be responsible for:
- Developing and integrating autonomous experimental systems for high throughput formulation and characterization of heat dissipating formulations (HDFs).
- Designing and optimizing workflows for material handling and formulation processes.
- Implementing machine learning algorithms for data-driven optimization of formulation and processing conditions.
- Automating handling and processing of high-viscosity materials and powders.
- Analyzing experimental data and refining methodologies for improved material performance.
- Training students and supporting industrial collaborators on SDL operations and discoveries.
- Collaborating with engineers and data scientists to enhance system performance.
- Preparing and presenting clear, concise materials to communicate results and insights effectively.
- Supporting research-focused events and collaborations within the community.
How to Apply
Interested candidates should submit a CV, a cover letter detailing research experience and interests, and contact information for three references. Combine the documents into a single PDF file named: “givenname-familyname-SDL5-YYYY-MM-DD.pdf” and email it to Frantz Le Devedec at frantz.ledevedec@utoronto.ca, with the subject line “Formulation SDL5 HDF.”
Last Date to Apply
Evaluation of candidates will begin immediately and continue until the position is filled.
