Research Scholar
Research Scholar
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Job Description
The 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
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
Research Scholar 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 cuttingedge imaging research and development (R&D) of CADt CADe and CADxtype tools with strong translational potential for rapid detection/triage injury grading and quantitative visualization of hemorrhage burden. We are currently recruiting motivated Research Scholars with a masters degree (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 crosssectional imaging data are especially wellsuited 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 NIHfunded study on these topics:
1) R&D for CTbased tools using CNN or ViT backbones for classification or object detection of hemorrhagerelated pathologies including cavitary hemorrhage solid organ injury and bleeding pelvic fractures using a very large inhouse CT dataset with highquality labeling and outcome data.
2) Training and validation of stateoftheart 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 webbased interactive user interfaces for the above tools.
Employment Type
Full Time
