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Statistical Physics Researcher for AI Model Training

$100 per hour

SaidGig

Apply advanced expertise in statistical physics, quantum information, or condensed matter theory to a research-focused project combining theoretical analysis, numerical benchmarking, and AI model training. This part-time contractor role centers on complex problems involving disordered systems, duality, topological phenomena, and computational physics. Key Responsibilities

  • Apply subject matter expertise to produce high-quality technical input that helps train and evaluate next-generation AI systems.
  • Analyze advanced statistical physics problems involving replicated random-bond Ising and Ashkin-Teller models, toric-code thresholds, and the Nishimori line.
  • Develop clear, well-documented solutions or critiques related to Kramers-Wannier duality, quenched disorder averaging, square-lattice self-duality, and domain-wall free energy.
  • Perform and interpret advanced numerical work involving 4-state Potts model simulations.
  • Identify, discuss, and resolve technical issues involving noncontractible loop defects and related topological features.
  • Contribute to project assignments as a Solver, Auditor, or Adjudicator based on relevant experience and subfield strengths.
Qualifications
  • PhD or equivalent advanced experience in physics, with specialization in statistical physics, quantum information, or condensed matter theory.
  • Strong knowledge of Kramers-Wannier duality, quenched disorder averaging, square-lattice self-duality, domain-wall free energy, noncontractible loop defects, and related statistical physics concepts.
  • Direct hands-on experience applying Kramers-Wannier duality, quenched disorder averaging, and square-lattice self-duality in research or project settings is preferred.
  • Demonstrated proficiency with numerical simulations of the 4-state Potts model and analysis of domain-wall free energy is preferred.
  • Familiarity with topological quantum codes, particularly the toric code and threshold phenomena, is preferred.
  • No prior AI experience is required.
Work Terms
  • Part-time independent contractor engagement.
  • Fully remote and open to candidates worldwide.
  • Expected commitment of 5 to 10 or more hours per week.
  • Hours are fully flexible, including the ability to work after hours or on weekends if needed.
  • Specific assignments may vary based on project needs, relevant experience, and subfield expertise.
Compensation

Compensation ranges from $100 to $200 per hour.

Application Process

Candidates can begin the application online using an available sign-in or email option and must acknowledge the applicable candidate terms and privacy policy before continuing.

Vacancy posted a month ago
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