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Machine Learning Researcher for Mathematical Physics
2 months ago
We are seeking a highly qualified researcher to join our team at the Perimeter Institute for Theoretical Physics. The successful candidate will be a tenure-track Assistant Professor in the area of Machine Learning for Mathematical Physics.
About the PositionThe Department of Applied Mathematics at the University of Waterloo and the Perimeter Institute for Theoretical Physics invite applications for a tenure-track Assistant Professor position in the area of Machine Learning for Mathematical & Quantum Physics. In special cases, a position at the rank of Associate or Full Professor may be considered.
Research Areas- Machine learning for quantum physics/quantum computing
- Quantum machine learning
- Intersection of machine learning and quantum matter or condensed matter theory
- Machine learning for other areas of mathematical/theoretical/computational physics
The incumbent will be a faculty member in Applied Mathematics at the University of Waterloo and will spend 50% of their time as an Associate at the Perimeter Institute. We are looking for applicants with an enthusiasm for teaching at both the undergraduate and graduate level, and for the supervision of graduate research.
RequirementsInterested candidates must have a PhD or equivalent in Applied Mathematics, Theoretical Physics, or a related field. The salary range for this position is $110,000-$160,000 CAD. Salary will be commensurate with qualifications, experience, and research record.
How to ApplyInterested individuals should apply using MathJobs. Complete applications should include a cover letter, a curriculum vitae, research and teaching statements, a statement on Equity-Diversity-Inclusion, teaching evaluation summaries (if available), and up to three reprints/preprints. In addition, applicants should arrange to have at least three reference letters submitted on their behalf.
