Biophysics and Statistical Physicist for AI Training [Remote]
$80 - $160 per hourSaidGig
Canada
- Remote job
Role Overview
Apply advanced biophysics and statistical physics expertise to a research-level project modeling bacterial population growth, stochastic two-state growth-rate switching, cell-size regulation noise, and asymptotic population growth rates. Your analysis will help train next-generation AI systems through rigorous, reproducible domain input. Prior AI experience is not required.
Key Responsibilities
- 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 varying 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.
Qualifications
- Advanced expertise in statistical physics, biophysics, or related quantitative biological modeling of stochastic processes.
- 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.
Work Terms
- Remote contract engagement.
- Assignments may include Solver, Auditor, or Adjudicator work, depending on subfield specialization, seniority, and relevant hands-on experience.
Compensation
$80 to $160 per hour.
Vacancy posted 1 day ago
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