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Open Postdoctoral position, faculty mentor Thomas Robinson

Important Info

Faculty Sponsor (Last, First Name): 
Robinson, Thomas
Other Mentor(s) if Applicable: 
Byron Reeves, Russ Altman, Nilam Ram (Penn State University)
Department Name: 
Postdoc Appointment Term: 
1-2 years
Appointment Start Date: 
How to Submit Application Materials: 

Please submit the required application materials to Sally McCarthy:

Postdoctoral fellowship in Media Psychology, Data Science, and Health
Screenomics Lab
Primary faculty mentors: Byron Reeves, PhD (Department of Communication) and Thomas Robinson, MD, MPH (School of Medicine)
Digital experiences capture an increasingly large part of life, making them a preferred, if not required, method to describe and theorize about human behavior. Digital media also shape behavior by enabling people to switch between different content easily, and create unique threads of experiences that pass through numerous information categories.  The Stanford Screenomics Lab is building a framework to study moment-by-moment changes in how people use digital media by recording screen shots from personal digital devices every five seconds.  To date, we have collected over 25 million screen shots from adults in the US, China and Myanmar.  The data are being used to study the role of new media in a breadth of areas including, for example, the influence of social media on politics and democracy, development of precision health diagnostics and interventions, the role of media in the lives of people living in poverty, and the development of intimate social relationships via media. 
You will have the opportunity to work closely with a group of one dozen faculty and PhD students in several different Stanford schools and departments (Communication, Psychology, Medicine, Political Science, Computer Science), and with collaborators at other universities.  You will have a primary responsibility in the lab for designing and organizing data collection, computing resources needed for data acquisition and storage, database management, image and text coding, analytics, visualization and search.  And you will have an opportunity to collaborate on multiple projects and papers with members of the lab.

Required Qualifications: 

The strongest applicants will have experience in one or more key interdisciplinary areas:

  • Psychology or Media Psychology
    •  Experience studying the role of media and technology in social interactions, politics, health, economics or other areas of psychological life.
  • Computer Science or Informatics:
    • Proficiency in programming and software development with a habit for robust unit testing. Our group mainly develops software in a Python + SQL environment with R for additional statistical analysis. For decision support prototype development, web-based user interface design and human-computer interaction testing experience will be valuable. 
  • Statistics and Mathematics:
    • Machine learning and statistical learning methodologies (supervised and unsupervised) and evaluation including discrimination vs. calibration measures and (hyper)parameter optimization through cross-validation. Observational research methods including interpreting multivariate regression, missing data imputation, propensity score matching, and bootstrap simulations. 
  • Biomedicine, Clinical Medicine or Public Health:
    • Experience and training in biomedical, medical or public health research, biomedical informatics, epidemiology, health services research, health psychology or health communication, prevention, health economics.


  • A track record of complete research projects and well-written, peer reviewed papers is expected. Specific responsibilities and research projects will be tuned to the career goals, technical strengths, and interests of the applicant.
Required Application Materials: 
  • A brief cover letter describing research interests and motivations for joining the Screenomics Lab
  • CV
  • Names and contact information for 3 references


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.