Career Center

The Biomedical and Clinical Informatics Lab has an immediate opening for a highly motivated and skilled postdoctoral research fellow. Our lab focuses on leveraging machine learning techniques to advance biomedical and clinical applications. Our research aims to develop computer-aided decision support systems and innovative signal/image processing methods, along with artificial intelligence (AI) algorithms. Current clinical applications areas of focus include drug design, traumatic brain injury, ulcerative colitis, and heart failure, among others.

This postdoctoral position offers a unique opportunity to contribute to cutting-edge research at the intersection of machine learning and biomedical informatics to real-world clinical scenarios. The fellow will have access to state-of-the-art resources, valuable networking opportunities, and the chance to collaborate with renowned experts in the field. This role will serve as a stepping stone towards a successful career in academia, industry, or both, providing a solid foundation for future endeavors in biomedical and clinical applications of machine learning.

• Apply advanced algebraic and numerical methods to analyze and interpret biomedical data, including signals, images, and molecular data.
• Utilize programming languages such as Python and Matlab to develop and implement machine learning algorithms and models.
• Collaborate with a multidisciplinary team of researchers, clinicians, industry partners, and external collaborators to contribute to ongoing projects.
• Take a leadership role in research projects, including project planning, experimental design, and data analysis.
• Provide mentorship and guidance to students and junior researchers within the lab.
• Actively engage in project management activities, including grant writing and reporting.
• Demonstrate excellent communication skills in English, both written and verbal, to effectively present research findings, prepare scientific manuscripts, and contribute to conferences and workshops.
• Work independently and efficiently, demonstrating self-motivation and the ability to manage multiple tasks and priorities in a dynamic research environment.
• Stay up-to-date with the latest advancements in machine learning, biomedical informatics, and related fields.
• Establish collaborations with clinical, industrial, and research partners to facilitate knowledge exchange and promote the translation of research findings into practical applications.

• Ph.D. in Electrical Engineering, Computer Science, Mathematics, Statistics, Bioinformatics, or a closely related field.
• Strong background in algebra, optimization, computational mathematics, and/or statistics.
• Proficiency in programming languages such as Python and Matlab for implementing machine learning algorithms and models.
• Experience working with biomedical data, including signals and images, and applying algebraic and numerical methods for analysis.
• Excellent written and verbal communication skills in English.

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.

Michigan Medicine improves the health of patients, populations and communities through excellence in education, patient care, community service, research and technology development, and through leadership activities in Michigan, nationally and internationally.  Our mission is guided by our Strategic Principles and has three critical components; patient care, education and research that together enhance our contribution to society.

Job openings are posted for a minimum of seven calendar days.  The review and selection process may begin as early as the eighth day after posting. This opening may be removed from posting boards and filled anytime after the minimum posting period has ended.

The University of Michigan is an equal opportunity/affirmative action employer.

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.

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