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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