About this role
Physics Expert (Statistical Physics / Quantum Information / Condensed Matter)
Job Summary
We are engaging Physics Experts (Statistical Physics / Quantum Information / Condensed Matter) to contribute to a research-driven project at the intersection of theoretical physics and numerical benchmarking.
In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required, your domain knowledge is what matters.
Scope of Work
- Analyze and provide expert insights into complex statistical physics phenomena, with a focus on replicated random-bond Ising/Ashkin-Teller models, the toric-code threshold, and the Nishimori line.
- Deliver clear, well-documented solutions or critiques of problems relating to Kramers-Wannier duality, quenched disorder averaging, square-lattice self-duality, and domain-wall free energy.
- Engage in advanced numerical work, particularly around 4-state Potts model simulations and interpretation.
- Identify, discuss, and resolve technical challenges involving noncontractible loop defects and related topological features.
- Participate as a Solver, Auditor, or Adjudicator on specific project assignments based on your experience and subfield strengths.
Preferred Qualifications
- Advanced academic background (PhD or equivalent experience) in physics, with specialization in statistical physics, quantum information, or condensed matter theory.
- Direct, hands-on experience applying Kramers-Wannier duality, quenched disorder averaging, and square-lattice self-duality in research or project settings.
- Demonstrated proficiency in numerical simulations involving the 4-state Potts model and analysis of domain-wall free energy.
- Familiarity with topological quantum codes, particularly the toric code and its threshold phenomena.