Postdoctoral Research Associate

Princeton, NJ
May 14, 2018
Institution Type
Four-Year Institution

Princeton University

Postdoctoral Research Associate at the Princeton Psychology Department The Princeton Psychology Department invites applications for a Postdoctoral Research Associate to begin in Summer 2018. We are looking for a candidate to help launch an integrated web and mobile platform for large-scale behavioral science research. The ideal candidate will have experience in both social psychology and web development, and an interest in combining the two. Responsibilities will include (1) designing and deploying web-based studies, (2) building a user-base for an existing web platform using gamification, social media outreach, etc. (3) overseeing a team of developers as they design a mobile research app, (4) analyzing large-scale behavioral, web, mobile sensing, experience sampling, and text data, and (5) pursuing independent research projects in social psychology. The successful candidate will work with Professors Diana Tamir, Nicole Shelton, and Stacey Sinclair. Essential Qualifications: - Doctoral degree in psychology, computer science, statistics, or related fields - Excellent organizational, interpersonal, and communication skills - Evidence of potential for an independent research program - Experience in web development (JavaScript, Ruby, HTML/CSS, PostgreSQL, Git) and scientific computing (e.g. Python, R, Matlab, shell scripting, etc.) Applicants must apply online at Please submit the following materials as PDFs named "[lastname]_vita.pdf" and "[lastname]_coverletter.pdf": (1) a curriculum vita, (2) a cover letter indicating relevant experience and research interests. Also, include names and contact information for three professional references. Review of applications will begin immediately and continue until the position is filled. This position is fully funded at NIH salary levels and includes funds for research expenses. Initial appointment is for one year with possibility for renewal pending satisfactory performance. This position is subject to the University's background check policy.


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