Theoretical Physicist for AI Training
$80 - $160 per hourSaidGig
Apply advanced theoretical physics expertise to help train next-generation AI systems through research-focused analysis, numerical benchmarking, and high-quality technical feedback. This remote contractor opportunity centers on complex problems in statistical physics, quantum information, and condensed matter theory. Role Overview
Contribute domain expertise to a research-driven project involving theoretical physics and numerical benchmarking. Prior AI experience is not required, as the work relies on your physics knowledge and specialized research background.
Key Responsibilities- Analyze complex statistical physics phenomena, with emphasis on replicated random-bond Ising and Ashkin-Teller models, the toric-code threshold, and the Nishimori line.
- Produce clear, well-documented solutions and critiques involving Kramers-Wannier duality, quenched disorder averaging, square-lattice self-duality, and domain-wall free energy.
- Perform and interpret advanced numerical work related to 4-state Potts model simulations.
- Identify, discuss, and resolve technical challenges involving noncontractible loop defects and related topological features.
- Support assignments as a Solver, Auditor, or Adjudicator based on your experience and subfield strengths.
- Advanced academic background in physics, including a PhD or equivalent experience, with specialization in statistical physics, quantum information, or condensed matter theory.
- Hands-on research or project experience with Kramers-Wannier duality, quenched disorder averaging, and square-lattice self-duality.
- Proficiency in numerical simulations of 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.
- Remote independent contractor engagement.
- $80 to $160 per hour.
Vacancy posted 16 days ago
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