Role OverviewWe are seeking a PhD-level physicist to contribute to a research-driven AI training and numerical benchmarking project. The work is fully remote and designed for experts able to contribute at a high technical level.
What You Will Do
You will analyse complex theoretical physics problems, develop or critique technically rigorous solutions, and contribute advanced numerical and conceptual expertise across topics including disordered spin systems, duality methods, topological quantum codes, and critical phenomena.
Why It Might Be a Fit
Ideal candidates will have a PhD in physics, specialisation in statistical physics, quantum information, or condensed matter theory, and experience applying Kramers-Wannier duality in research or advanced technical work.
Requirements
- PhD or equivalent advanced research experience in physics
- Specialisation in statistical physics, quantum information, condensed matter theory, or a closely related field
- Direct experience applying Kramers-Wannier duality in research or advanced technical work
- Strong familiarity with quenched disorder averaging and square-lattice self-duality
- Demonstrated experience analysing domain-wall free energy
- Proficiency with numerical simulations involving the 4-state Potts model
- Familiarity with topological quantum codes, particularly toric-code threshold phenomena
- Strong ability to reason through advanced theoretical and numerical problems independently
- Excellent written technical communication skills
- Ability to critique complex derivations, simulations, and scientific arguments with precision
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