Physics Expert in Biophysics / Statistical Physics

Apply advanced biophysics and statistical physics expertise to a research-level project modeling bacterial population growth, stochastic growth-rate switching, cell-size regulation noise, and asymptotic population growth rates. Your analysis will help train next-generation AI systems through rigorous, reproducible real-world input. Prior AI experience is not required.

• Analyze and model stochastic two-state Markov processes with gamma-distributed waiting times in bacterial population dynamics.
• Apply the Euler-Lotka equation to evaluate and benchmark asymptotic population growth rates across different noise regimes.
• Develop or review analytical methods using perturbative expansions in small division-noise variance, and validate the resulting predictions.
• Use renewal theory and first-passage-time analysis to derive insights into population growth and cell-size regulation noise.
• Document methodological steps, assumptions, and findings clearly to support AI training and reproducibility.

• Advanced expertise in statistical physics, biophysics, or related quantitative biological modeling of stochastic processes.
• Demonstrated experience with two-state Markov models and gamma-distributed waiting times in biological or physical systems.
• Strong command of the Euler-Lotka equation, perturbative expansions, and renewal theory for population or growth dynamics.
• Ability to conduct first-passage-time analysis and interpret its implications for growth-rate fluctuations and size control.

• Remote, contract engagement.
• Qualified participants may be considered for Solver, Auditor, or Adjudicator assignments based on specialization, seniority, and hands-on experience with the relevant methods.

• $80 to $160 per hour.