Luddy School of Informatics, Computing and Engineering at IU Indianapolis
Indianapolis, Indiana
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BioMedical Engineering- Tenure Track - MRI Physics and Ops
University of South Carolina
Application
Details
Posted: 12-Dec-25
Location: Columbia, South Carolina
Type: Full Time
Years of Experience:
Less than 2
Preferred Education:
Doctorate
Internal Number: FAC00262PO25
The Biomedical Engineering Department at the University of South Carolina invites applications for a tenure-track faculty position at the Assistant, Associate or Professor level. We are seeking highly qualified candidates with expertise in bioengineering or physics, with a particular focus on MRI physics and operations.
Position Summary:
The successful candidate will have the opportunity to work with the University’s advanced imaging facilities, which include a state-of-the-art 3 Tesla MRI and a forthcoming 7 Tesla MRI system. The candidate should have a strong research background in brain and body imaging, and we are particularly interested in those with experience in developing new MRI sequences, translating basic research into clinical applications, and conducting high-impact translational research.
Key Responsibilities:
- Conduct cutting-edge research in MRI physics, including sequence development and optimization for brain and body imaging.
- Collaborate with interdisciplinary teams across the University of South Carolina and affiliated medical institutions, including Prisma Health.
- Develop a robust, externally funded research program.
- Teach undergraduate and graduate courses in biomedical engineering, MRI physics, and related areas.
- Mentor students at all levels, from undergraduate to PhD.
- Contribute to departmental and university service.
Qualifications:
- A PhD in Biomedical Engineering, Physics, or a closely related field.
- Demonstrated experience and expertise in MRI physics, operations, and imaging technology.
- Proven track record of peer-reviewed publications in high-impact journals.
- Strong potential for establishing an externally funded research program.
- A commitment to teaching and mentorship at both the undergraduate and graduate levels.
- Experience with advanced MRI systems, including 3 Tesla and 7 Tesla, is highly desirable.
Preferred Qualifications:
- Expertise in developing MRI sequences and techniques.
- Experience with translational research and collaboration with clinical researchers.
- Experience with multimodal imaging or integration with other imaging techniques.
Application Process:
Interested applicants should submit the following:
- Cover letter outlining qualifications and research interests.
- Curriculum vitae.
- Research statement (2-3 pages).
- Teaching statement (1-2 pages). –
Names and contact information for at least three references.
Review of applications will begin on January 10, 2026 and continue until the open position(s) are filled. The expected start date is August 16, 2026. Applications must be submitted through https://uscjobs.sc.edu/postings/198772
Questions may be directed to:
Department of Biomedical Engineering
Dr. Tarek Shazly, Faculty Search Chair
EEO: The University of South Carolina does not discriminate in educational or employment opportunities or decisions for qualified persons on the basis of age, ancestry, citizenship status, color, disability, ethnicity, familial status, gender (including transgender), gender identity or expression, genetic information, HIV/AIDs status, military status, national origin, pregnancy (false pregnancy, termination of pregnancy, childbirth, recovery therefrom or related medical conditions, breastfeeding), race, religion (including religious dress and grooming practices), sex, sexual orientation, veteran status, or any other bases under federal, state, local law, or regulations.
A PhD in Biomedical Engineering, Physics, or a closely related field.
- Demonstrated experience and expertise in MRI physics, operations, and imaging technology.
- Proven track record of peer-reviewed publications in high-impact journals.
- Strong potential for establishing an externally funded research program.
- A commitment to teaching and mentorship at both the undergraduate and graduate levels.
- Experience with advanced MRI systems, including 3 Tesla and 7 Tesla, is highly desirable.