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About the position
The Postdoctoral Scholar position in Biomedical Engineering at Michigan Technological University involves conducting research in computational biomedical engineering. The role is designed for a 12-month appointment with the possibility of renewal based on performance and funding. The successful candidate will collaborate with a diverse team, including faculty and clinical collaborators, to explore topics such as biomedical imaging analysis, computer modeling of physiological systems, and software development for biomedical applications.
Responsibilities
- Review and synthesize relevant literature
- Conduct image analysis, numerical modeling and/or data analysis
- Prepare manuscripts for publication in peer-reviewed journals
- Disseminate research at national and international conferences
- Assist in preparing data to secure extramural funding
- Work with other members of the research team, including undergraduate and graduate students, faculty, and research collaborators (inside and outside Michigan Tech)
- Implement best safety practices and continuous improvement
Requirements
- Ph.D. in engineering, Applied Math, Physics, Computer/Data/Computational Sciences, or a closely related field
- Experience with computerized data analytics
- Experience with medical imaging and processing
- Experience and skills in computer coding (e.g., Matlab, Python, C++, etc.)
- A record of publication(s) in mainstream peer-reviewed journals
- Knowledge of biomedical research
Nice-to-haves
- Experience in computational geometric analysis
- Experience and knowledge in optimization and computer vision
- Experience in one of the mainstream software packages in computational sciences (e.g., OpenCV, FENiCS, VTK, ITK, 3D Slicer, etc.)
- Knowledge and experience in computer model development and coding (e.g., Python or C++)
- Foundational skills in Medical Image Analysis and the utility of computer vision in biomedical applications
- Knowledge of Machine learning and its applications in medical imaging
- Excellent communication skills and abilities to work with multi-disciplinary collaborators
- Ability to mentor students with diverse backgrounds
- Demonstrated success in, or potential future contributions to, working with persons from diverse backgrounds, creating a sense of belonging, and fostering a fair, objective, welcoming place to work for persons with a wide variety of personal characteristics and viewpoints
Benefits
- Professional development opportunities
- Collaborative research environment
- Access to state-of-the-art facilities
- Support for attending conferences
