A postdoctoral research fellow position is available at the Biomedical and Clinical Informatics Lab. Our laboratory specializes in designing computer-aided decision support systems for clinical applications.
The applicant will apply advanced signal processing and machine learning to predict the occurrence of clinical events and their severity. Applicants must have completed a PhD in Electrical Engineering, Computer Science, or other closely related fields with relevant research experience in signal processing, in particular time-frequency analysis, and/or machine learning. Fluency in English conversation and the teamwork skills necessary to collaborate in a multidisciplinary environment will be important assets. Additional roles include leadership active participation in project management activities, including the administration of research projects. This position will require initiative and the ability to work without close supervision.
Michigan Medicine conducts background screening and pre-employment drug testing on job candidates upon acceptance of a contingent job offer and may use a third party administrator to conduct background screenings. Background screenings are performed in compliance with the Fair Credit Report Act. Pre-employment drug testing applies to all selected candidates, including new or additional faculty and staff appointments, as well as transfers from other U-M campuses.
The University of Michigan is an equal opportunity/affirmative action employer.
Internal Number: 174605
About University of Michigan - Ann Arbor
A great university is made so by its faculty and staff, and Michigan is recognized as one of the best universities to work for in the country. The Michigan culture is known for engaging faculty and staff in all facets of the university to create a workplace that is vibrant and stimulating.For two consecutive years, the Chronicle of Higher Education has placed U-M in its "Great Colleges to Work For" survey. In particular, the university earns high marks for strong relations between faculty and administrators, a collaborative system of governance, strong pay and benefits, and a healthy work/life balance.