Post-Doctoral Position - Medical Image Processing
Content + Source + Freshness • 14 Dec 2025 • 95% confidence
Offer value
Exceptional value attributed to prestigious research institution, focus on innovative medical imaging technologies, and great growth opportunities.
- Excellent growth prospects in impactful medical research
- Opportunity to work with leading experts in the field
- Focus on innovative technology applications
Pros
- Opportunities for publication and career advancement in academia or industry
- Collaborate with leading professionals in medical image processing
- Focus on impactful research with real-world applications
Cons
- May involve long hours and project deadlines
- Competitive selection process
- Funding can be subject to variability
Who it's for
Postdoctoral / Early Career • In-person / Research environment
Good fit
- Research-oriented postdoctoral candidates
- Individuals passionate about medical imaging and AI
- Candidates looking to make a significant impact in healthcare technology
Not recommended for
- Those lacking advanced qualifications
- Individuals preferring non-research roles
- Candidates with limited interest in medical applications
Motivation fit
Key skills
About the job
Post-Doctoral Fellow Position in Medical Image Processing (Deep Learning for Trauma CT)
The Trauma Radiology AI Lab (TRAIL) in the Department of Radiology & Nuclear Medicine at the University of Maryland School of Medicine is a new collaborative and supportive environment for investigators who are conducting cutting-edge imaging research and development (R&D) of CADt, CADe, and CADx-type tools with strong translational potential for rapid detection/triage, injury grading, and quantitative visualization of hemorrhage burden. We are currently recruiting motivated Postdoctoral Fellows with a Ph.D., M.D. (or equivalent) and a background in Computer Science, Electrical Engineering, Biomedical Engineering, or related fields. Candidates who have experience with MICCAI or RSNA CT challenge datasets such as RibFrac, the RSNA pulmonary embolus CT dataset, or the RSNA abdominal trauma CT dataset, or are otherwise technically proficient with imbalanced cross-sectional imaging data are especially well-suited for the position . The postdoctoral researchers will develop algorithms for deployment at our prestigious R Adams Cowley Shock Trauma Center and beyond, and there is ample opportunity to present, publish, and kickstart a fruitful career in academia or industry in the area of medical image processing. The work will be conducted through an NIH-funded study on these topics:
1) R&D for CT-based tools using CNN or ViT backbones for classification or object detection of hemorrhage-related pathologies including cavitary hemorrhage, solid organ injury, and bleeding pelvic fractures using a very large in-house CT dataset with high-quality labeling and outcome data .
2) Training and validation of state-of-the-art segmentation models for multiscale tasks, with targets including organ lacerations, cavitary pooled hemorrhage, and active bleeding.
3) One additional position focuses on evaluating user acceptance of tools by working with radiology and trauma surgery experts in the field. For this position, we are looking specifically for candidates with experience developing web-based interactive user interfaces for the above tools.
QualificationsThe University of Maryland offers highly competitive salaries with excellent benefits. To apply for this position, please send your curriculum vitae, a cover letter describing your interest, background, and qualifications, and a list of three references (including contact information) to Dr. David Dreizin at ddreizin@som.umaryland.edu
The position is subject to a background check. Applications from women, minorities, and persons with disabilities are strongly encouraged. Applications will be accepted until the position is filled. The University of Maryland at Baltimore is dedicated to building a diverse community in its training and employment programs
Baltimore Inner Harbor, Maryland
The University of Maryland is an equal opportunity, affirmative action employer . All qualified applicants will receive consideration for employment regardless of sex, gender identity, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law or policy. We value diversity and how it enriches our academic and scientific community and strive towards cultivating an inclusive environment that supports all employees.
Job:Postdoctoral Fellows
