2 Postdocs in ML, data mining for clinical risk modeling

University of Michigan
Department of Electrical Engineering and Computer Science
Postdoctoral positions in machine learning and data mining for clinical risk modeling

The Department of Electrical Engineering and Computer Science at the University of Michigan (www.eecs.umich.edu/) has openings for two postdoctoral research positions to investigate machine learning and data mining issues related to risk modeling in clinical datasets.

Researchers will have the opportunity to work on a number of exciting topics in a highly collaborative and interdisciplinary environment, and will interact closely with investigators at the University of Michigan Health System, Henry Ford Health System, Harvard Medical School, and MIT.

Successful researchers are expected to conduct original research that advances computational intelligence to model long-term physiological time-series and identify temporal characteristics associated with future risk, and to design statistical approaches that integrate multi-dimensional data to explore the mechanisms underlying disease processes. These ideas will be explored and evaluated in the context of cardiovascular and neurological applications, with the goal of achieving a translational impact in real-world settings to manage patients with chronic diseases.

Requirements: Candidates should hold a PhD (or equivalent degree) in computer science, electrical engineering, information science, or a related field.

_Contact_:
Applications and inquiries regarding available positions can be sent electronically to syed@eecs.umich.edu. To apply, please send a CV, brief statement of research interests, and the contact information for three references. Positions will remain open until they are filled.