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Physics Expert PhD (Statistical Physics / Quantum Information / Condensed Matter)
About the role
physics and numerical benchmarking. In this role, you'll apply your expertise to help train next generation AI systems.
What you'll do
- 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.
Requirements
- Preferred: Advanced academic background (PhD or equivalent experience) in physics, with specialization in statistical physics, quantum information, or condensed matter theory.
- Preferred: Direct, hands on experience applying Kramers Wannier duality, quenched disorder averaging, and square lattice self duality in research or project settings.
- Preferred: Demonstrated proficiency in numerical simulations involving the 4-state Potts model and analysis of domain wall free energy.
- Preferred: Familiarity with topological quantum codes, particularly the toric code and its threshold phenomena.
About micro1
micro1 is a data lab that helps AI labs and large companies train AI models and agents. It finds and checks skilled people from many fields, like law, medicine, finance and coding, to produce the training data that makes AI work better.
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