Ben Seller sends along this opportunity:

The Stanford Human Trafficking Data Lab is accepting applications for a postdoctoral fellowship position to join a project investigating trafficking risks in charcoal supply chains in Brazil. The position is open to recent graduates of PhD programs in statistics, economics, computer science, operations research, or related data science fields. The position provides opportunities to participate in rigorous, quantitative research on human trafficking, including supply chain network analysis and geospatial modeling. The successful candidate will have strong data science skills, including experience working with large, complex data from varied sources, and machine learning methodologies. The underlying data are complex and will require sophisticated data management and integration skills. A candidate should have proficiency with GIS software and Python, strong written and interpersonal communication skills, and a demonstrated interest in addressing social justice issues through data-driven research. The postdoc will work in partnership with PI Grant Miller (Stanford University School of Medicine) and other research team members, and will contribute to study design, participate in field research, conduct data analysis, and disseminate findings through academic publications and presentations. The postdoctoral fellow will be expected to focus mainly on this project, but may spend up to 20% of their time on independent research. For more on the Lab’s other ongoing projects see https://htdatalab.stanford.edu/projects/. The postdoc will be based at Stanford University in the Department of Health Policy, located near to the Departments of Economics and Political Science and the Graduate School of Business.

TO APPLY: Please email a single PDF document named
“Lastname_Firstname_HTDL_Postdoc_2025” containing the following materials to Lydia Aletrais at lydiale@stanford.edu:

1. A cover letter describing your interest in this position, your relevant training and experience, and our earliest and preferred start dates
2. A current CV
3. A transcript (unofficial is fine)
4. Names, e-mail addresses, and phone numbers of 2-3 references.

Applications will be considered on a rolling basis. Short-listed applicants will be asked to complete a technical exercise and may be called for an interview.

Given that they’re doing network analysis and geospatial modeling, I expect that knowledge of Stan would be useful too.