随机生物物理学物理学家（博士）
Stochastic Biophysics Physicist (PhD)
**薪资：** 每小时80-110美元（美元）。
## 关于工作内容
**CritPt** 是一个公开的基准测试，用于研究级别的物理挑战，旨在测试前沿 AI 模型是否能进行真正的物理研究推理，而不是解决教科书问题。该基准论文是 **[arXiv:2509.26574](https://arxiv.org/abs/2509.26574)**，我们建议在申请前阅读它。这会快速告诉你是否对这项工作感兴趣。
我们正在寻找物理学家来在其所属的子领域中处理研究级别的物理问题。根据你的发表记录，这可能意味着创建问题、解决问题、审查已完成的工作或进行审计。一旦你被匹配到一个领域，我们会与你确认具体的任务。
这是一项研究级的工作，而非批量工作。你所产出的内容必须足够完整，以便你所在子领域的其他专家能够独立地跟进和验证，因此每项任务都包含书面推理。
## 本小组的研究领域
一个领域。我们进行精准匹配：你需要在该特定现象上有发表，而不是广泛地在生物物理学领域。
**1. 随机自催化增长：化学主方程、分支过程：** 自催化反应循环、随机 Hinshelwood 循环、化学主方程过程、循环矩阵谱、向平衡指数增长的瞬态振荡、反应网络的矩层次结构、生成函数方法。
如果你还研究长距离扩散、重尾跳跃过程或范围扩展中的前沿传播，请在表单中说明。一个密切相关的研究领域位于我们的统计物理小组，并使用相同的方法。
## 我们期望在你的发表作品中看到的方法
你应该能够指出自己的论文，证明你至少具备以下某一类：
- 化学主方程和随机 Hinshelwood 循环
- 多类型分支过程和循环矩阵谱
- 反应网络的矩层次结构
- 生成函数方法
## 我们寻找的人选
**生物物理学、统计物理学、应用数学或相关领域的博士。** 这是一个硬性要求。博士后研究员、科研科学家和初级教职人员是最合适的候选人。具有强大第一作者记录的高级博士生也欢迎申请。
**在随机增长或反应网络动力学方面有发表作品。** 这是我们在其他方面表现良好的情况下拒绝申请的最常见原因。
查看英文原文
**Pay:** $80-$110 per hour (USD).
## 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](https://arxiv.org/abs/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.
## Application steps
1. **Apply and complete the attached form.** Basic information, education, research experience, your method self-attestation, and the area above if you are a fit. Give an arXiv ID or DOI of **your own paper** as proof, with your author position and the methods it demonstrates. A selection without proof is not scored.
2. **We verify your papers and authorship** against the public record.
3. **Then one of two things happens.** Either we onboard you directly, or we invite you to a short live alignment call to agree the area and the assignment with you.
4. A brief **30 to 45 minute assessment** may be added, but only where we need it. Most applicants will not see one.
## 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.