Open Postdoctoral position, faculty mentor Grant Miller

Important Info

Faculty Sponsor First name: 
Grant
Faculty Sponsor Last Name: 
Miller
Stanford Departments and Centers: 
Health Policy
Postdoc Appointment Term: 
The position is for a one-year term with the possibility of renewal for a second year by mutual agreement.
Appointment Start Date: 
January 2027 (but also interested in candidates who want to start later)
How to Submit Application Materials: 

Please email a single PDF document named “Lastname_Firstname_HTDL_Postdoc_2026” containing the required application materials to Lydia Aletraris at lydiale@stanford.edu

Please also arrange to have two letters of reference sent directly to Dr. Aletraris at the same email address.

Does this position pay above the required minimum?: 
Yes. The expected base pay range for this position is listed in Pay Range field. The pay offered to the selected candidate will be determined based on factors including (but not limited to) the qualifications of the selected candidate, budget availability, and internal equity.
Pay Range: 
$85,000 - $95,000

The Stanford Human Trafficking Data Lab is accepting applications for a postdoctoral fellowship position to contribute to the Lab’s portfolio of projects focused on counter-trafficking research and the development of a comprehensive framework for interagency trafficking survivor case management and monitoring, as well as digital tools to speed the delivery of post-trafficking services for survivors of human trafficking in Brazil.   

The position is open to recent graduates of PhD programs in the social sciences, including economics, psychology, public policy, political science, or related fields. The position provides opportunities to participate in rigorous, quantitative research on human trafficking, as well as multiple co-authorship opportunities. The ideal candidate has a high degree of independence, is motivated, and is able to effectively manage relationships with partners. Proficiency with statistical software, some data science skills, and comfort with AI tools are essential. The successful candidate will also have excellent organizational skills, strong written and interpersonal communication skills, and a demonstrated interest in addressing social issues through data-driven research. Subject matter expertise in human trafficking or the broader human rights and international development field is preferred, but not necessary. 

The postdoc will work in partnership with Principal Investigator Grant Miller (Stanford University School of Medicine) and other research team members, and will contribute to the development of RCT study design, participate in field research, conduct data analysis, and disseminate findings through academic publications and presentations. For more on the Lab's ongoing projects, see https://htdatalab.stanford.edu/projects/. The postdoc will be based at Stanford University in the Department of Health Policy. 

Applications will be considered on a rolling basis. 

Required Qualifications: 
  • PhD graduate in social sciences (economics, psychology, public policy, political science, or related fields)
  • Demonstrated proficiency with statistical software and comfort with AI tools
  • High degree of independence and motivation
  • Excellent organizational skills
  • Strong written and interpersonal communication skills
Required Application Materials: 

Please email a single PDF document named “Lastname_Firstname_HTDL_Postdoc_2026” containing the required application materials to Lydia Aletraris at lydiale@stanford.edu.

1. A cover letter describing:

    a.  Your interest in this position

    b.  Your relevant training and experience

    c.  Your 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

Please also arrange to have two letters of reference sent directly to Lydia Aletraris at lydiale@stanford.edu.

 

Stanford is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law.