Summary

A postdoctoral associate position is available at Michigan Technological University (Michigan Tech) to conduct research on a wide range of topics related to computational biomedical engineering. The appointment is for 12 months, with an option for renewal upon satisfactory performance and funding availability.

Successful applicants would join a team of postdoctoral staff, undergraduate and graduate students advised by Dr. Jingfeng Jiang, Professor of Biomedical Engineering and Director of Biocomputing and Digital Health (a joint center affiliated with Health Research Institute and Institute of Computing and Cybernetics). The postdoctoral associate has opportunities to collaborate with clinical collaborators outside Michigan Technological University, notably Betz Family Center for Congenital Heart Health at Helen DeVos Children’s Hospital in Grand Rapids, Michigan. The applicant would select research topic(s) working with the supervisor on the following area:
• Biomedical Imaging Analysis and Data Analytics, Including Machine Learning
• Computer Modeling of Human Physiological Systems
• Software Development and Integration with applications in Biomedical analytics

Michigan Tech attracts world-class faculty and staff who enrich the educational experience of smart, motivated, and adventurous students. Applicants committed to promoting a sense of belonging and contributing to an equitable and inclusive learning environment for all are strongly encouraged to apply(https://www.mtu.edu/belonging/).

Responsibilities 

1. Review and synthesize relevant literature
2. Conduct image analysis, numerical modeling and/or data analysis
3. Prepare manuscripts for publication in peer-reviewed journals
4. Disseminate research at national and international conferences
5. Assist in preparing data to secure extramural funding
6. Work with other members of the research team, including undergraduate and graduate students, faculty, and research collaborators (inside and outside Michigan Tech)
7. Implement best safety practices and continuous improvement

Required Education, Certifications, Licensures

Ph.D. in engineering, Applied Math, Physics, Computer/Data/Computational Sciences, or a closely related field.

Required Experience

1. Experience with computerized data analytics
2. Experience with medical imaging and processing
3. Experience and skills in computer coding (e.g., Matlab, Python, C++, etc.)

Desirable Education and/or Experience

1. Experience in computational geometric analysis
2. Extensive Experience and Knowledge in optimization and computer vision
3. Experience in one of the mainstream software packages in computational sciences (e.g., OpenCV, FENiCS, VTK, ITK, 3D Slicer, etc.)
4. Knowledge and experience in computer model development and coding (e.g., Python or C++)

Required Knowledge, Skills, and/or Abilities

1. A record of publication(s) in mainstream peer-reviewed journals
2. Knowledge of biomedical research

Desirable Knowledge, Skills, and/or Abilities

1. Foundational skills in Medical Image Analysis and the utility of computer vision in biomedical applications.
2. Knowledge of Machine learning and its applications in medical imaging
3. Excellent communication skills and abilities to work with multi-disciplinary collaborators
4. Ability to mentor students with diverse backgrounds
5. 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.

Work Environment and/or Physical Demands

The work environment is that of a typical office and/or classroom setting. The noise level in the work environment is usually low to moderate.

Required Training and Other Conditions of Employment

Every employee at Michigan Technological University will receive the following 4 required trainings; additional training may be required by the department.

Required University Training:

• Employee Safety Overview

• Anti-Harassment, Discrimination, Retaliation Training

• Annual Data Security Training 

• Annual Title IX Training

Background Check:

Offers of employment are contingent upon and not considered finalized until the required background check has been performed and the results received and assessed.

Other Conditions of Employment:

Please note that successful applicants are responsible for ensuring their eligibility to work in the United States (i.e. a citizen or national of the United States, a lawful permanent resident, a foreign national authorized to work in the United States without the need of an employer sponsorship) on or before the effective date of your appointment, and maintain eligibility without sponsorship throughout your appointment.

1

FLSA Status

Exempt

Appointment Term

12 months

Shift

Pay Rate/Salary

Title of Position Supervisor

Professor

Posting Type

Dependent on Funding

Special Instructions to Applicants (if applicable)

• Applicants will need to upload the following documents:
  • Curriculum Vitae
  • Cover Letter
  • A list of professional references (please provide contact information for at least two professional references)
  
  We strongly encourage applicants to address the required and desired qualifications in their cover letter and explain how they will contribute to the Vision and Mission of Michigan Tech.

Additional Information

• The Biomedical Engineering Department at Michigan Technological University conducts applied and translational biomedical research. Its mission is to educate students, contribute to the community, and disseminate new knowledge, and we offer an array of professional development opportunities for postdoctoral researchers. (see https://www.mtu.edu/biomedical/)
  
  Michigan Technological University, one of the four major research universities in the State of Michigan, is located in Michigan’s Upper Peninsula adjacent to Lake Superior. The community offers a small-town environment with outstanding four-season recreational opportunities. Michigan Tech is located in Houghton, MI on the south shore of Lake Superior.
  
  Michigan Tech is proud to be an ADVANCE Institution that has thrice received National Science Foundation support to increase diversity, inclusion, and the participation and advancement of women and underrepresented individuals in STEM. (see https://www.mtu.edu/advance/).