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Physics expert (biophysics / statistical physics)

RemoteJobsOne

  • Amsterdam
  • RemoteJobsOne
  • 27 september 2026

Functieomschrijving

IMPORTANT: after you apply, please check your email. We send you a link to complete your application — it is not considered until that last step is done. If you do not see it, check your spam folder.

This is a fully remote position, open to candidates based in Netherlands.

Pay: $80–$160/hr

Role Title: Physics Expert (Biophysics / Statistical Physics)

Role Type: Contractor

Location: Remote

We are engaging Physics Experts (Biophysics / Statistical Physics) to contribute to a research-level project focused on modeling bacterial population growth, stochastic two-state growth-rate switching, cell-size regulation noise, and asymptotic population growth rate. 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. Participants may be considered for one or more assignments, including Solver, Auditor, or Adjudicator, based on subfield specialization, seniority, and hands-on experience with the relevant methods.

Scope of Work

  • Analyze and model stochastic two-state Markov processes with gamma-distributed waiting times in the context of bacterial population dynamics.
  • Apply the Euler-Lotka equation to assess and benchmark asymptotic population growth rates under varying noise regimes.
  • Develop or review analytical approaches using perturbative expansions in small division-noise variance and validate resulting predictions.
  • Integrate renewal theory and first-passage-time analysis to derive key insights on population growth and cell-size regulation noise.
  • Document detailed methodological steps, assumptions, and findings clearly for AI training and reproducibility purposes.

    • Preferred Qualifications

  • Advanced expertise in statistical physics, biophysics, or related quantitative biological modeling of stochastic processes.
  • Proven experience working 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 in the context of population or growth dynamics.
  • Demonstrated ability to conduct first-passage-time analysis and interpret implications for growth-rate fluctuations and size control.

    • How to apply

    Apply here with your profile. We will then email you a link to complete your application on the hiring platform — your application is only considered once that final step is done.