Post-Doctoral Fellow in Psychology (strong computational component)
Philadelphia, Pennsylvania, USA
University of Pennsylvania
Contact Andrew Schwartz
Phone: Andrew Schwartz
Post-Doctoral Research Fellow in Psychology (strong computational component)
The Positive Psychology Center at the University of Pennsylvania seeks a highly motivated Post-Doctoral Fellow in psychology to begin fall 2012, for one or more years. The fellow will work with Dr. Martin E.P. Seligman, and run research studies, analyze data, and prepare publications. The PPC is a vibrant work place, and if desired, there could be opportunity to collaborate on other projects.
The key role of the fellow will be to support a cutting edge interdisciplinary research project in computational social science with massive data sets that require advanced statistical skills, scientific intuition and a basic understanding of programming. Specifically, the post-doc will develop feasible research questions based on our computational infrastructure, interpret results from a psychology perspective, and help to prepare publication of results for psychology and related journals. The fellow would work closely with a post-doc in computer science in the Positive Psychology Center, as well as with research programmers.
In the “World Well-Being Project”, we apply methods of Natural Language Processing and machine learning to massive social media data sets (Facebook, Twitter, blogs) with the goal of estimating the well-being of millions of people. The development of the necessary infrastructure to do this with high spatial and temporal resolution has lead to many intermediate projects. For example, we have developed an instrument that distinguishes language use based on psychological or demographic variables, leading to new insights about psychological constructs.
Experience with large-scale data sets using advanced statistics, as well as an understanding of basic programming (python, R, or something similar) is required. Individuals with a Ph.D. in psychology or a closely related field are encouraged to apply. Applications will be reviewed on a rolling basis.
Please send CV, statement of interest (two pages max), 2 reprints/preprints, references, and 3 letters of recommendation to: Andrew Schwartz, email@example.com. The University of Pennsylvania is an EOE/Affirmative Action Employer.
When applying for this position, please mention you saw this ad in the APS Postdoc Exchange.