Postdoctoral Researcher in Natural Language Processing for Social Science
University of Pennsylvania, Department of Computer Science
We invite applicants for a postdoctoral research position in natural language processing for health and social science, working on an interdisciplinary research project studying subjective well-being and health outcomes. The researcher will help develop state-of-the-art methods and models to better understand people, such as predicting personality from the words they use and automatically recognizing cognitive distortions typical of people prone to depression.
The ideal candidate will have research experience in computational linguistics and applied machine learning. She or he will develop and code novel methods to leverage large datasets (i.e. billions of tweets) and use them to further our understanding of health, well-being, and the psychological states of individuals and large populations. Methods and results will be published in high impact computer science venues and, via collaboration with psychologists and medical doctors, in social science and health venues. See wwbp.org for example publications.
Application Deadline: January 15, 2016
Approximate Start Date: March 1, 2016 (but flexible)
How to Apply: Send a detailed CV with at least 2 references who can be contacted for letters to firstname.lastname@example.org. Include job-code “POSTDOC-CS” in subject line.
The University of Pennsylvania is an EOE/Affirmative Action Employer. Position contingent on funding.
About University of Pennsylvania
The University of Pennsylvania is a private, Ivy League research university located in West Philadelphia, PA founded by Benjamin Franklin in 1740. Penn is home to 12 schools including the School of Arts and Sciences, the School of Nursing, the School of Engineering and Applied Science and the Wharton School of Business, as well as several graduate and professional schools such as the School of Medicine.