Postdoctoral Scholar, Medical Image Analysis and Visualization.
Michigan Technological University
Location: Houghton, Michigan
Internal Number: 22288, 22289
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Michigan Technological University is an Equal Opportunity Educational Institution/Equal Opportunity Employer that provides equal opportunity for all, including protected veterans and individuals with disabilities.
If you require any auxiliary aids, services, or other accommodations to apply for employment, or for an interview, at Michigan Technological University, please notify the Human Resources office at 906-487-2280 or [email protected].
Job Description Summary
Michigan Technological University (Michigan Tech) has two positions available 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.
Michigan Tech attracts world-class faculty and staff who enrich the educational experience of smart, motivated, and adventurous students. Applicants who are 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/diversity-inclusion/).
Successful applicants would join a team of postdoctoral staff and undergraduate and graduate students and closely collaborate with the Betz Congenital Heart Center at the Helen DeVos Children’s Hospital. The selected post-doc(s) will be supervised by Dr. Jingfeng Jiang and Dr. Joseph Vettukattil. Dr. Jiang is a Professor of Biomedical Engineering and Director of Biocomputing and Digital Health (a joint center affiliated with the Health Research Institute and Institute of Computing and Cybernetics. Dr. Vettukattil is a world-renowned interventional cardiologist and an Adjunct Professor of Biomedical Engineering.
Essential Duties & Responsibilities (other duties may be assigned)
•Review and synthesis relevant literature. •Conduct image analysis, numerical modeling and/or data analysis. •Prepare manuscripts for publication in peer-reviewed journals. •Prepare grant proposals to support research efforts. •Disseminate research at national and international conferences. •Work with other members of the research team, including undergraduate and graduate students, faculty, and research collaborators (inside and outside Michigan Tech). •The applicant would select research topic(s), working with the supervisors on the following area: • Biomedical Imaging Analysis and Data Analytics, Including Machine Learning • Multiple Image Modality Integration and Visualization • Software Development and Integration to Support Clinical Applications in Cardiovascular Disease •Integrate safety practices into daily activities and commit to learning about continuous improvement strategies and applying them to everyday work.
Ph.D. in engineering, Applied Math, Physics, Computer/Data/Computational Sciences, or a closely-related field.
Required Experience (minimum requirements)
Experience in processing medical imaging data. Experience with computerized data analytics.
Desirable Education and/or Experience
Experience in one of the mainstream software packages in machine learning (e.g., Tensorflow, Torch, etc.). Experience in Computer Vision applications and related software (e.g., OpenCV). Experience in Virtual Reality (VR) and/or Augmented Reality (AR). Extensive experience and skills in the programming of at least one of the following three areas: machine learning, Computer Vision, or VR/AR. Extensive Experience and Knowledge in optimization and numerical analysis of partial differential equations.
Knowledge and computer coding skills (e.g., Matlab, Python, C++, etc.). A record of publication(s) in mainstream peer-reviewed journals.
Desirable Knowledge, Skills, and/or Abilities
Medical Image Analysis. Computer vision with applications in Medicine. Machine learning with applications in medical imaging. Computer visualization, including VR/AR applications in conjunction with medical imaging and surgical planning.
Language, Mathematics and/or Reasoning Skills
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 pieces of training; additional training may be required by the department.
Required University Training:
Employee Safety Overview
Anti-Harassment, Discrimination, and Retaliation Training
Annual Data Security Training
Annual Title IX Training
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:
The successful applicant will be responsible for ensuring eligibility for employment in the United States on or before the effective date of the appointment. Visa sponsorship is unavailable at this time. This is not an E-Verified Position.
Full-Time Equivalent (FTE) % (1=100%)
Title of Position Supervisor
Professor & Director
Internal & External
Dependent on Funding
Special Instructions to Applicants (if applicable)
Michigan Tech is an internationally renowned doctoral research university located in Houghton, Michigan, in the scenic Upper Peninsula on the south shore of Lake Superior. The area provides a unique setting where natural beauty, culture, education, and a diversity of residents from around the world come together to share a superb living and learning experience.
Michigan Tech is proud to be an ADVANCE Institution that has three times received National Science Foundation support to increase diversity, inclusion, and the participation and advancement of women and underrepresented individuals in STEM.
Michigan Tech is an Equal Opportunity Educational Institution/Equal Opportunity Employer that provides equal opportunity for all, including protected veterans and individuals with disabilities.
Our scope is international. Our approach interdisciplinary. We work at the intersections of communication, composition, literature, modern languages, philosophy, rhetoric, visual studies, linguistics, gender studies, and technical communication. Our students develop the communicative, analytic, and cultural knowledge to thrive in all aspects of their future lives.Applications from women and BIPOC scholars are highly encouraged by both the department and the institution. Michigan Tech is building a culturally diverse faculty committed to teaching and working in a multicultural environment and strongly encourages applications from all individuals.