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Physics Expert (Biophysics / Statistical Physics)

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Physics Expert (Biophysics / Statistical Physics)

RemoteJobsOne

Physics Expert (Biophysics / Statistical Physics)

Skills

AI

1 month ago

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Important information


Contract type:

Permanent

Location:

Hong Kong

Work mode:

Remote

Published on:

27 September 2026

What they need


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 Hong Kong.

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

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

Preferred Qualifications

  1. Advanced expertise in statistical physics, biophysics, or related quantitative biological modeling of stochastic processes.
  2. Proven experience working with two-state Markov models and gamma-distributed waiting times in biological or physical systems.
  3. Strong command of the Euler-Lotka equation, perturbative expansions, and renewal theory in the context of population or growth dynamics.
  4. 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.

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