We are sharing a specialised consulting opportunity for experienced Physics Experts in biophysics, statistical physics, stochastic processes, and quantitative biological modelling with strong expertise in two-state stochastic models, Euler–Lotka analysis, perturbative methods, renewal theory, and first-passage-time techniques.
Selected professionals will contribute to a research-level project focused on bacterial population growth, stochastic growth-rate switching, cell-size regulation noise, and asymptotic population dynamics. Contributors may participate as Solvers, Auditors, or Adjudicators depending on expertise and seniority. No prior experience in AI is required.
Key Responsibilities
Stochastic Population & Growth Modelling
- Analyse two-state stochastic processes, growth-rate switching, and gamma-distributed waiting times
- Model bacterial growth, division, and long-term population dynamics
- Apply Euler–Lotka analysis to asymptotic growth under different stochastic regimes
- Evaluate how generation-time variability and growth fluctuations affect population behaviour
- Connect microscopic stochastic mechanisms with macroscopic growth predictions
Perturbative, Renewal & First-Passage Analysis
- Develop and review perturbative expansions in small division-noise variance
- Apply renewal theory to repeated stochastic growth and division events
- Use first-passage-time methods to analyse threshold crossing, division timing, and size regulation
- Evaluate approximation limits, neglected terms, and alternative derivations
- Compare analytical predictions with exact or numerical results where appropriate
Research Evaluation & Adjudication
- Develop rigorous analytical solutions as a Solver
- Audit assumptions, derivations, mathematical consistency, and biological interpretation
- Compare competing approaches and adjudicate technically disputed solutions
- Identify conceptual, mathematical, or methodological errors
- Document assumptions, methods, and conclusions with research-level precision
Ideal Profile
- Advanced expertise in statistical physics, biophysics, or a closely related quantitative discipline
- Strong experience modelling stochastic biological or physical systems
- Familiarity with two-state stochastic models and gamma-distributed waiting times
- Strong command of Euler–Lotka analysis
- Experience with perturbative expansions, renewal theory, and first-passage-time methods
- Familiarity with bacterial population dynamics or cell-growth models is highly valuable
- Strong understanding of growth-rate fluctuations and cell-size regulation noise
- Excellent mathematical, analytical, and scientific-writing skills
- Ability to document complex derivations and assumptions clearly
- No prior AI-training or model-evaluation experience is required
Engagement Details
- Independent contractor engagement
- Fully remote
- Compensation: $80–$160/hour
- Work will involve stochastic population modelling, two-state processes, gamma-distributed waiting times, Euler–Lotka analysis, perturbative expansion, renewal theory, and first-passage-time analysis
- Contributors may participate as Solvers, Auditors, or Adjudicators depending on expertise and seniority
- Assignments may involve bacterial growth models, stochastic switching, division noise, cell-size regulation, asymptotic growth rates, and research-level benchmark evaluation
- Project scope, workload, biological systems, and evaluation standards may evolve depending on project requirements
- Work must be completed without using confidential or proprietary information belonging to any employer, research institution, laboratory, collaborator, or other third party
About the Platform
This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.
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