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Physics Expert PhD (Statistical Physics / Quantum Information / Condensed Matter)

micro1 · 100% remote · Contract · Posted

Pay
$100–200/hr
Location
Worldwide
Languages
English
Hours
5–10+ hours/week; flexible
Openings
10
Level
Expert
Apply for this position

Summary

Support AI training through theoretical physics analysis and numerical benchmarking involving statistical models, quantum codes, duality, disorder, and topological defects.

What you'll do

  • Analyze random-bond Ising and Ashkin-Teller models, toric-code thresholds, and the Nishimori line.
  • Document solutions and critiques involving duality, disorder averaging, and domain-wall free energy.
  • Perform and interpret 4-state Potts model numerical simulations.
  • Resolve questions involving noncontractible loop defects.
  • Serve as a Solver, Auditor, or Adjudicator on assigned problems.

Requirements

  • Preferred: physics PhD or equivalent experience in statistical physics, quantum information, or condensed matter theory.
  • Research experience with Kramers-Wannier duality, quenched disorder averaging, and square-lattice self-duality.
  • Proficiency in 4-state Potts model simulations and domain-wall free energy analysis.
  • Familiarity with topological quantum codes and toric-code thresholds.

Skills

  • Physics
  • Kramers-Wannier Duality
  • Quenched Disorder Averaging
  • Square-Lattice Self-Duality
  • Domain-Wall Free Energy
  • Noncontractible Loop Defects
  • 4-State Potts Model Numerics

Full description

Role Title: Physics Expert PhD (Statistical Physics / Quantum Information / Condensed Matter)


Role Type: Part-Time, Contractor

Location: Fully Remote, Open to candidates worlwide

Schedule: 5-10+ hrs/week. Fully flexible (Can accomodate after hours + weekends if needed)


micro1 is engaging Physics Experts (Statistical Physics / Quantum Information / Condensed Matter) to contribute to a research-driven customer 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

  1. 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.
  2. 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.
  3. Engage in advanced numerical work, particularly around 4-state Potts model simulations and interpretation.
  4. Identify, discuss, and resolve technical challenges involving noncontractible loop defects and related topological features.
  5. Participate as a Solver, Auditor, or Adjudicator on specific project assignments based on your experience and subfield strengths.



Preferred Qualifications

  1. Advanced academic background (PhD or equivalent experience) in physics, with specialization in statistical physics, quantum information, or condensed matter theory.
  2. Direct, hands-on experience applying Kramers-Wannier duality, quenched disorder averaging, and square-lattice self-duality in research or project settings.
  3. Demonstrated proficiency in numerical simulations involving the 4-state Potts model and analysis of domain-wall free energy.
  4. Familiarity with topological quantum codes, particularly the toric code and its threshold phenomena.

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