Psychology Postdoc at the University of Pennsylvania: Using Social Media to Understand Health and Well-Being The World Well-Being Project at the University of Pennsylvania seeks a Postdoctoral Research Fellow to begin in July 2016. The fellow will be based out of the Positive Psychology Center and be mentored by Professors Martin Seligman and Lyle Ungar. The fellow will work collaboratively with data scientists (e.g., from computer science) to investigate large social media datasets (i.e., billions of tweets), providing insights that further our understanding of health, well-being, and the psychological states of large populations. The fellow will prepare manuscripts and give presentations in high-impact psychology and multidisciplinary venues. The ideal candidate will have strong expertise in social science (social psychology, personality, health psychology, sociology, or public health), quantitative or computational methods, and writing. *Approximate Start Date: July 1st, 2016 (subject to negotiation) *How to Apply: Applicants should send a cover letter (2 pages max), CV (with references listed), and 2 reprints/preprints to applications(a)wwbp.org with "POSTDOC-PSYCH" in subject line. *Application Deadline: March 1st, 2016 This work is with the World Well-Being Project (see wwbp.org), a collaboration between computer scientists and social scientists pioneering techniques for measuring psychological well-being and physical health based on language in social media. We are shedding new light on psychosocial processes and developing unobtrusive well-being measures to supplement (and in part replace) expensive survey methods. For questions please contact Laura Smith (lasm(a)sas.upenn.edu).