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

Noida, India

Experience: 3+ years
Job Type: Full-time (Contractual / Freelancing)
Location: Remote
Required Skills: Physics, Kramers-Wannier duality, quenched disorder averaging, square-lattice self-duality, domain-wall free energy, noncontractible loop defects, 4-state Potts model numerics

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.