Assistant Professor – Data Science in Psychology (30 views)

Eugene OR, United States
September 20, 2019

The University of Oregon’s Department of Psychology invites applications for a tenure-track position in data science in psychology. For this position we are interested in researchers who develop and/or integrate new, quantitative methods within psychological research. Examples of relevant areas for this search include, but are not limited to: natural language processing; machine learning; network analysis of neural, psychological, or social processes; longitudinal modeling of developmental processes; computational models of human learning, perception, or performance; scientific computing; data visualization; or other modern computational methods and approaches applied in psychological research. The appointment will be at the Assistant Professor level and will begin in Fall 2020.

The competitive candidate (Ph.D. required at the time of appointment) will have an active research program and be capable of outstanding research and teaching at the graduate and undergraduate levels. We are especially interested in candidates who will contribute to the collaborative, interdisciplinary, and growing community of researchers across campus with interests in data science. We particularly welcome applications from scholars who are from populations historically underrepresented in the academy, and/or who have experience working with diverse populations.

This search is one of nearly a dozen associated with the Presidential Initiative in Data Science at the University of Oregon. This initiative spurs intentional growth in research and education using big data and cutting-edge analytics across the entire campus. We are building a cross-disciplinary data science program on a foundation of strong interdisciplinary research and innovative education at a liberal arts research university. We seek scholars excited to contribute to the program’s growth through excellence in a specific academic focus, as well as through interdisciplinary collaborations across data science writ large.

JOB IS EXPIRED.