Research Associate-Fixed Term

Position Summary

Dr. Dar Meshi in the College of Communication Arts and Sciences at Michigan State University is seeking a postdoctoral researcher for a 2-year appointment starting in Fall or Winter 2021. The postdoctoral researcher will spearhead an fMRI project investigating how the human brain processes information in an urban environment. This position is part of a broad, multi-center initiative titled eMotional Cities, which was recently funded by the European Commission’s Horizon 2020 program. The overall goal of this project is to characterize the intensity and complexity of urban health challenges and inequalities.

The postdoctoral researcher will have the freedom to develop their own studies and collaborate with other researchers in the lab, while devoting approximately two-thirds of their effort to supporting the eMotional Cities project. This position involves:

  • Designing fMRI and behavioral experiments
  • Managing data collection
  • Analyzing data
  • Preparing manuscripts for publication
  • Assisting and supervising the work of other lab members.

This position provides a transition to career independence by honing professional skills, an individualized mentoring plan to support training goals, and publication of research during the appointment period.


Equal Employment Opportunity Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, age, disability or protected veteran status.


Required Degree

  • Doctorate -Psychology, Neuroscience, or related field


Minimum Requirements

  • Doctoral degree in psychology, neuroscience, or related fields
  • Experience in designing behavioral and fMRI experiments
  • Experience in statistics and analyzing fMRI data (e.g., FSL, SPM, etc.)
  • Experience in programming (e.g., MATLAB, Python, etc.)
  • Excellent organizational, interpersonal, and communication skills

Please click here to apply:

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