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Postdoctoral Fellowship in Computational Neuroscience of Social Media and Emotion

We have 2 to 3 postdoctoral fellowships to study the positive and harmful effect of social media. The positions will be for 3 years, with the possibility of extension if needed. These fellowships, bring together researchers from social sciences, biology, human neuroscience, computer science, and related fields, in a truly interdisciplinary environment. We strive to improve the basic scientific understanding of online human social interaction, with implications for improving well-being. 

The Fellow will work under the supervision of Prof. Dean Mobbs, but in close collaboration with an interdisciplinary team including, but not limited to, Profs. Antonio Rangel, John O'Doherty, Colin Camerer, and Ralph Adolphs. (More details of the proposed research will be made available to short-listed applicants). Applicants must have several of the following skills:

  • Python, Psych Toolbox, Matlab, R or Stata, Prolific, Qualtrics.  
  • The ability to create virtual environments using PHP, Erlang, Java and C++ and the like.
  •  Knowledge of machine learning (LASSO, MVPA for fMRI data, neural networks).
  • PhD in neuroscience, psychology, physics, or math and computer science.

The following skills are preferred:

  • Ability to scrape web data, clean, and manage large data sets.  
  • Knowledge of fMRI and data analysis. 
  • Knowledge of eyetracking (Tobii or Mobile EyeLink).
  • Skill and appreciation for interdisciplinary thinking and communication.

Requirements: Positions are contingent upon completion of the PhD. Interested candidates should send a CV, a 2-3-page Research Statement, and three names of reference letter writers (as well as two letters) are required, to: dmobbs@caltech.edu. The Research Statement should contain a section that addresses past and/or potential contributions to diversity, equity, and inclusion (e.g., mentoring activities, committee service, research, or teaching activities). A cover letter (maximum 1 page) is optional. 

Applications will be reviewed starting on February 1st, 2022, and will remain open until positions are filled. The deadline for the receipt of applicant materials is Friday, March 18th, 2022. 

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

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