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Designed & Developed by Muhammad Farooq

CONTRACTOR•Remote•Active

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

micro1 is engaging Physics Experts specializing in statistical physics, quantum information, and condensed matter theory for a research-driven AI training project involving theoretical physics and numerical benchmarking. Contributors will analyze advanced statistical-physics phenomena, solve or critique specialized problems, perform numerical work, and address topological features related to quantum codes and lattice models. No prior experience in AI is required.

Salary

USD100 - USD200 / hour

Department

Physics & Scientific Research

Experience

PhD or equivalent advanced experience in Physics with specialization in statistical physics, quantum information, or condensed matter theory

Curated by Farooq77 Jobs

Role fit snapshot

Engagement
Remote contractor | micro1 application platform
Experience
Recorded experience: PhD or equivalent advanced experience in Physics with specialization in statistical physics, quantum information, or condensed matter theory
Core expertise
Physics & Scientific Research | Physics | Statistical Physics | Quantum Information
Geographic eligibility
Not specified beyond Remote
Listing dates
Posted 2026-09-08 | Valid through 2026-10-08
Compensation
Recorded compensation: $100-$200/hour

Responsibilities

  • Analyze complex statistical-physics phenomena involving replicated random-bond Ising and Ashkin-Teller models, the toric-code threshold, and the Nishimori line.
  • Provide expert insights and rigorous scientific reasoning for theoretical and numerical physics problems.
  • Develop clear, well-documented solutions or critiques involving 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, analyze, and resolve technical challenges involving noncontractible loop defects and related topological features.
  • Evaluate theoretical assumptions, numerical results, and scientific conclusions for correctness and consistency.
  • Participate as a Solver, Auditor, or Adjudicator on project assignments based on relevant experience and subfield expertise.

Skills

PhysicsStatistical PhysicsQuantum InformationCondensed Matter PhysicsKramers-Wannier DualityQuenched Disorder AveragingSquare-Lattice Self-DualityDomain-Wall Free EnergyNoncontractible Loop Defects4-State Potts ModelNumerical SimulationRandom-Bond Ising ModelsAshkin-Teller ModelsToric CodeNishimori LineTopological Quantum CodesTheoretical PhysicsNumerical Benchmarking

Requirements

  • Advanced academic background such as a PhD in Physics or equivalent experience, 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 with numerical simulations involving the 4-state Potts model.
  • Experience analyzing domain-wall free energy.
  • Familiarity with topological quantum codes, particularly the toric code and its threshold phenomena.
  • Strong understanding of theoretical and numerical methods used in statistical and condensed matter physics.
  • Ability to clearly communicate advanced scientific reasoning and technical findings.
  • Ability to commit approximately 5–10 or more hours per week with a flexible schedule.
  • No prior experience in AI is required.

Benefits

  • Fully remote contractor opportunity open to candidates worldwide.
  • Compensation of $100–$200 per hour.
  • Fully flexible schedule of approximately 5–10 or more hours per week.
  • Ability to work after hours or on weekends if preferred.
  • Opportunity to contribute to a research-driven project at the intersection of theoretical physics and numerical benchmarking.
  • Opportunity to apply specialized statistical physics, quantum information, and condensed matter expertise to next-generation AI systems.
  • Assignments may include Solver, Auditor, or Adjudicator responsibilities based on expertise.
  • No prior AI experience required.

Before you apply

  • Confirm that your location is eligible for the role.
  • Confirm the employment or contract type.
  • Verify the current compensation at the official source.
  • Review the required skills and experience.
  • Check that the listing is still open before applying.
  • Never pay a fee to submit a job application.
This listing is curated by Farooq77 and may originate from a third-party employer or platform. The application link may include referral or tracking parameters. The official application source is the final authority for role details, eligibility, compensation, and availability.
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