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University of Michigan

Just Landed

Assistant Research Scientist University of Michigan in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Available

Deadline

Mar 31, 2027

Country flag

Country

United States

University

University of Michigan

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Keywords

Computer Science
Biology
Mathematics
Optimisation
Bioscience
Computational Modelling
Applied Mathematic
ML

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About this position

The Michigan Center for Applied and Interdisciplinary Mathematics (MCAIM) at the University of Michigan is seeking two Assistant Research Scientist researchers to join its Algorithm Core team in the Department of Mathematics.

The positions focus on cutting-edge research in applied mathematics, especially the development of new algorithms and tools that can support researchers at the University of Michigan and beyond. The work is explicitly interdisciplinary, bringing together mathematics, computer science, and biosciences around data-driven insights and mathematical applications in the biosciences.

Selected researchers will work on algorithm development, optimization, computational modeling, and validation of innovative methods for complex datasets, with particular emphasis on bioscience data. The role also includes contributing to grant proposals, preparing publications, presenting at conferences and workshops, and supporting a collaborative research environment within MCAIM.

The advert highlights that candidates should be able to connect their mathematical and algorithmic expertise to biological research, and it encourages applicants to identify synergies with ongoing campus research in mathematics applied to the biosciences.

Funding details

Available

What's required

Ph.D. in Applied Mathematics, Computer Science, or a related field is required. Applicants should have demonstrated experience in algorithm development, computational modeling, advanced data analysis, and working in the biosciences or a clear record showing how their quantitative and algorithmic expertise applies to bioscience research. Strong programming skills in Python or MATLAB are required, with bioscience-data coding experience preferred. Candidates should have a proven record of original research, strong problem-solving and analytical skills, and the ability to work collaboratively and communicate technical concepts effectively. Experience with machine learning, data inference, image analysis, data documentation, presentation, and mentoring is preferred.

How to apply

Submit a single combined PDF containing the cover letter, CV, and research statement through the application link. Include two letters of recommendation as part of the application package. Applications are reviewed on a rolling basis until both positions are filled.

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