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ISCApad Archive » 2015 » ISCApad #204 » Jobs » (2015-03-29) Post-doctoral Position (24 months) University of Michigan |
ISCApad #204 |
Tuesday, June 16, 2015 by Chris Wellekens |
Post-doctoral Position (24 months) University of Michigan Predicting Individual Outcomes for Rapid Interventions (PRIORI) Context: Bipolar disorder (BP) is a common and severe psychiatric illness characterized by pathological swings of mania and depression and is associated with devastating personal, social, and vocational consequences (suicide occurs in up to 20% of cases [1]). Bipolar disorder is among the leading causes of disability worldwide [2]. The cost in the United States alone was estimated at $45 billion annually [3]. These economic and human costs, along with the rapidly increasing price of health care provide the impetus for a major paradigm shift in health care service delivery, namely to monitor and prioritize care with a focus on prevention. In this project we focus on how to using mobile health technologies to automatically track mood variation in populations with BP. We have a large collection of ecologically recorded smartphone calls, now numbering over 22,000, and are investigating how to characterize mood in these data. Overview of Position: The candidate will have the opportunity to analyze spoken data from individuals with bipolar disorder, collected over the period of six months to a year. Our goal is to predict mood states from natural speech. Significant opportunities exist in machine learning, speech processing, user personalization, and health-centered computing. We are currently processing our massive ecologically valid set of speech data from individuals with bipolar disorder to uncover the acoustic characteristics of speech that will allow us to intuit mood state (manic, depressed, euthymic) and mood state change. The candidate will interact with an established team including experts in affective processing (Emily Mower Provost), reinforcement learning (Satinder Singh), and psychiatry (Melvin McInnis). We are seeking postdoctoral candidates with experience in machine learning, speech processing , and human-centered computing. Keywords: Machine learning, speech processing, and human-centered computing. Prerequisite: PhD degree in computer science, signal processing, or machine learning. Strong knowledge in programming languages and database management are desired. To apply: Interested applicants should email their CV, a cover letter outlining their experience and research background, two references, and their two-three most relevant papers to Emily Mower Provost (emilykmp@umich.edu). References: [1] Frederick K Goodwin and Kay Redfield Jamison, Manic-depressive illness: bipolar disorders and recurrent depression, vol. 1, Oxford University Press, 2007. [2] Alan D Lopez, Colin D Mathers, Majid Ezzati, Dean T Jamison, and Christopher JL Murray, “Global and regional burden of disease and risk factors, 2001: systematic analysis of population health data,” The Lancet, vol. 367, no. 9524, pp. 1747–1757, 2006. [3] Leah S Kleinman, Ana Lowin, Emuella Flood, Gian Gandhi, Eric Edgell, and Dennis A Revicki, “Costs of bipolar disorder,” Pharmacoeconomics, vol. 21, no. 9, pp. 601–622, 2003. |
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