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Research Innovator in AI-Driven Discovery
2 months ago
We are seeking a highly skilled Research Innovator to join our team at the University of Toronto. This is an exciting opportunity to advance the field of AI-driven autonomous discovery and develop the materials and molecules required to address society's largest challenges.
Key Responsibilities- Develop research programs that leverage our self-driving laboratories (SDLs) and support the research objectives of our faculty and industry partners.
- Use SDLs to synthesize and characterize large quantities of candidate molecules, calibrate theoretical models with experimental data, predict promising candidates with computational tools and machine learning algorithms, and elucidate structure-property relationships of emerging molecules, polymers, solid-state materials, formulations, etc.
- Implement research and development projects of our industry partners when implemented in our labs.
- Work with our Product Managers to ensure research outcomes meet partner requirements.
- Promote our research capacity by delivering presentations at conferences.
- Collaborate in the preparation and submission of research proposals to granting agencies and progress reporting.
- Ph.D. in computer science, engineering, chemistry, physics, life sciences, or related discipline.
- 1 to 5 years of experience (inclusive of PhD and/or post-graduate work) in accelerated research and development with demonstrated academic and research excellence.
- Experience working with industry partners and on industry lead research and development projects.
- Expert knowledge of AI and automation and experience with the development of self-driving laboratories.
- Experience presenting research at academic conferences.
You will be part of a diverse team of leading experts at the University of Toronto, including Professors Anatole von Lilienfeld, Florian Shkurti, Animesh Garg, Alán Aspuru-Guzik, Oleksandr Voznyy, and more.
This is a grant-funded position, and the salary range is $52,574 - $98,576 per year, depending on skills and experience.