The University of California Institute for Prediction Technology is a UC research Institute studying how to solve real-world problems at the intersection of psychology, public health/medicine, and technology. It bridges together researchers across UC campuses to study how social data from social media, wearable devices, and online technologies can be used to predict real-world events in areas like health and medicine, politics, crime, education, and finance.
The Postdoctoral Fellow will be responsible for working with an interdisciplinary team to build a streamlined platform that extracts social media data to predict events. This position will mine social media sites such as Twitter, Instragram and others and conduct predictive models to predict real-world events. The postdoc will work with PIs to plan events and conduct outreach to other researchers to further the new and growing field of social data informatics. The Postdoc will attend meetings, workshops, and courses to enhance understanding of the field. This position will also prepare manuscripts and grants for scientific journals and presentations for meetings and conferences.
Candidates must have a PhD with background/expertise in informatics, psychology, and/or computer science or related field. Candidates must have background experience in both psychology/behavior as well as programming and data analysis experience. Knowledge of social media platforms and ability to connect to APIs is required. Candidates must be able to work with faculty across multiple disciplines. Candidates must have first-author publications.
Application Deadline : 31 July 2015
Posted on 2015-06-12 04:12:13
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