8 phd-physics "https:" positions at Mathjobs.org

Fields Postdoctoral Fellowship - Geometric Analysis and Mathematical Physics

. The list of Fields PSUs can be found here: https://www.fields.utoronto.ca/about/sponsors. Current PhD students are asked to include their expected completion dates in their cover letter. Eligibility

Research Associate (Postdoc) – 2nd qualification period (for the initial appointment to a full professorship)

Sciences, Institute of Mathematics / Mathematics, specialization in Geometry and Mathematical Physics Your responsibility Research and teaching at the Institute of Mathematics, in particular in the

Hooke/Titchmarsh Research Fellow (Complex Systems)

Mathematical Institute: https://www.maths.ox.ac.uk/people/research-fellowship-programmes/hooke-and-titchmarsh-fellowships The Fellowship is full-time, and fixed-term for up to 36 months; applications for

Assistant Professor

, building on an unrivaled legacy of excellence recently punctuated by the 2025 Nobel Prize in Physics. This initiative reinforces an extraordinary community of faculty whose work spans the full quantum

Tenure-track Assistant Professor in Mathematics - Inverse Problems & Imaging

with the department’s existing strengths in analysis, PDEs, integral geometry, and mathematical physics. In accordance with USCIS regulations, successful applicants must be legally able to accept work

Postdoctoral Associate

[IMAGE] Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) ● PhD (or foreign equivalent) in Applied Mathematics, Physics, Theoretical/Computational Biology

Lecturer in Mathematics

, and empower students to succeed. This non-tenure track faculty position, based in the Department of Chemistry, Physics and Mathematics, is a 10-month academic year position. Responsibilities

Faculty Position in Mathematical Artificial Intelligence

and topological machine learning; AI-assisted theorem proving, formal verification, proof assistants, automated proof search, and AI-guided mathematical discovery; neural operators, physics-informed