Senior Staff Scientist
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Senior Staff Scientist (Quantum for AI-Accelerated Materials Discovery)
University of Toronto
Toronto, ON Full-time CA$150,000 - CA$180,000 / year
About the role
The University of Toronto's Acceleration Consortium is hiring a Senior Staff Scientist to develop and apply quantum algorithms and hybrid quantum-classical methods for AI-accelerated materials and molecule discovery. The role works with scientists and software engineers in the Consortium's AI and automation lab.
Responsibilities
- Evaluate and develop quantum simulation and quantum AI algorithms, and create software packages that connect quantum tools with classical chemistry workflows.
- Design hybrid computational workflows combining machine learning, AI surrogates, quantum chemistry, and first-principles calculations.
- Support laboratory operations, including equipment selection and procurement, budgets, lab access, and coordination of laboratory technicians.
- Co-lead research programs and industry-partner projects, supervise research staff and trainees, and coordinate with product managers.
- Prepare research proposals, reports, conference presentations, and peer-reviewed manuscripts.
Qualifications
- PhD in physics, chemistry, materials science, computer science, quantum information, or a related quantitative field.
- More than 10 years of research and development experience, including experience with quantum algorithms, quantum or atomistic simulation, and high-performance computing.
- Experience with Python, scientific computing or machine-learning frameworks, and tools such as Qiskit and Git/GitHub.
- Strong publication record and effective written and oral English communication skills.
Location: St. George campus, Toronto, Ontario. Schedule: Full-time. Salary: $150,000–$180,000 annually, based on skills and experience. Application deadline: January 8, 2027 at 11:59 p.m. ET.
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