Stochastic Biophysics PhD - Expert

Obsidian; Paris; À distance; EUR 97 000 - 133 000; Temps partiel

Avantages offerts par ce poste

Remote work

Flexible hours

Résumé du poste

Obsidian seeks researchers to work on CritPt, a public benchmark of frontier physics challenges. You may create problems, solve, review, or audit work in a narrowly matched subfield. Written reasoning is required for every assignment.

This is research-grade work with flexible, remote, asynchronous collaboration and no fixed hours, spanning 8–10 weeks at roughly 10 hours per week, with compensation of $80 to $110 per hour depending on subdomain depth.

Qualifications

• PhD in biophysics, statistical physics, applied mathematics or a closely related field.
• Published work on stochastic growth or reaction-network dynamics.

Responsabilités

• Engage researchers to work on research-level physics problems in their subfield.
• Match researchers to specific assignments and areas.
• Ensure written reasoning is included for every assignment.

Connaissances

LaTeX

Python

SymPy

Jupyter

English proficiency

Formation

PhD in Biophysics / Statistical Physics / Applied Mathematics

Outils

LaTeX

Python

SymPy

Jupyter

VS Code (agentic extension)

Description du poste

About the work

CritPt is a public benchmark of research-level physics challenges, built to test whether frontier AI models can carry out genuine physics research reasoning rather than textbook problem solving. The benchmark paper is arXiv:2509.26574 and we recommend reading it before applying. It will tell you quickly whether this work interests you.

We are engaging physicists to work on research-level physics problems in their own subfield. Depending on where your publication record fits, that can mean creating problems, solving them, reviewing completed work, or auditing it. We agree the specific assignment with you once you are matched to an area.

This is research-grade work rather than volume work. Whatever you produce has to be complete enough for another specialist in your subfield to follow and verify independently, so written reasoning is part of every assignment.

Research areas in this panel

One area. We match narrowly: you need to have published on this specific phenomenon, not in biophysics broadly.

1. Stochastic autocatalytic growth: chemical master equation, branching processes: Autocatalytic reaction cycles, stochastic Hinshelwood cycle, chemical master equation processes, circulant matrix spectra, transient oscillations toward balanced exponential growth, moment hierarchies for reaction networks, generating-function methods.

If you also work on long-range dispersal, heavy-tailed jump processes or front propagation in range expansions, say so on the form. A closely related area sits in our statistical physics panel and draws on the same methods.

Methods we expect to find in your own publications

You should be able to point to your own papers demonstrating at least one of the following families:

• Chemical master equation and the stochastic Hinshelwood cycle
• Multi-type branching processes and circulant matrix spectra
• Moment hierarchies for reaction networks
• Generating-function methods

Who we are looking for

A PhD in biophysics, statistical physics, applied mathematics or a closely related field. This is a hard requirement. Postdoctoral researchers, research scientists and junior faculty are the strongest fit. Senior PhD students with a strong first-author record are welcome to apply.

Published work on stochastic growth or reaction-network dynamics specifically. This is the single most common reason we decline otherwise excellent researchers. Command of the methods is not enough if you have not published on the phenomenon itself.

A verifiable publication record. Three to five representative papers with arXiv IDs or DOIs, ideally from the last five years. First author strongly preferred. Every paper you list will be checked against the public record.

Working proficiency with LaTeX, Python, SymPy and Jupyter. Some familiarity with an agentic coding extension in VS Code is useful. Gaps there are acceptable if you declare them honestly.

English at B2 or above, including written reasoning. A large part of the value you add is how clearly you set out your argument.

Commitment and rate

10 hours per week, sustained across an 8 to 10 week window, starting immediately. Remote and asynchronous with no fixed hours.

$80 to $110 per hour, set by depth of subdomain match.