Center for Behavioral Intervention Technologies
POSTDOCTORAL FELLOWSHIP: Data science for mobile phone based behavioral interventions
We are searching for a postdoctoral fellow with strong interest and competency in machine learning to develop approaches to analyze e-health, m-health and technology-assisted intervention for depression. The fellow will work on NIMH-funded trials of m-health interventions at Northwestern University's Center for Behavioral Intervention Technologies (CBITs; www.cbits.northwestern.edu) in collaboration with the group of Konrad Kording (klab.smpp.northwestern.edu). This position promises training both in clinical as well as in machine learning, Bayesian, and optimization approaches. The primary objective of this fellowship is to prepare the individual for an academic career at the intersection between medicine and machine learning.
One project is using mobile phone sensor data to identify user states related to mood, activity, social context and location relevant to treatment, while another will use data collected from mobile phones to inform an adaptive mobile intervention that provides treatment elements tailored to the needs of the patient.
Minority applicants encouraged. The position is currently open and review of applicants will be rolling. Salary is competitive. Strong computational skills are essential. Additional helpful qualifications include training in clinical psychology, computer science, python, evidence of scholarship, and excellent writing skills. Send CV, statement of research interests and goals, & three letters of recommendation to David C. Mohr, Ph.D., c/o Lisette Luistro, Department of Preventive Medicine, Northwestern University, 680 N. Lakeshore Dr., Suite 1400, Chicago, IL 60611, or to email@example.com.
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