University of Maryland School of Medicine
1 month ago
Postdoctoral Fellow in Medical Image Segmentation and Multiphysics Modeling for MR-Guided Brain Hyperthermia University of Maryland School of Medicine in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Full-time, three-year postdoctoral appointment on an NIH-funded project. No stipend amount is stated.
Country
United States
University
University of Maryland School of Medicine
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About this position
Postdoctoral Fellow opportunity at the University of Maryland School of Medicine in the Department of Radiation Oncology.
This full-time, three-year NIH-funded postdoctoral appointment focuses on medical image segmentation, anatomical modeling, and multiphysics simulation for MR-guided brain hyperthermia and brain tumor treatment.
The fellow will develop high-resolution virtual anatomical models of the human head from CT and MRI data, perform manual and semi-automatic segmentation, refine geometries and meshes, and build computational models coupling electromagnetic energy deposition with bioheat transfer to predict SAR and temperature distributions.
Research keywords include medical imaging, electromagnetic modeling, microwave propagation, thermal therapy, finite-element meshing, Python/MATLAB/C++ workflow automation, and clinical translation. The role also includes opportunities to observe clinical hyperthermia treatments and collaborate with medical physicists, engineers, neurosurgeons, imaging scientists, and industry partners.
Required background: a PhD in medical physics, biomedical engineering, electrical engineering, mechanical engineering, computer science, applied physics, applied mathematics, or a closely related field; at least one year of direct research experience in medical-image segmentation and 3D anatomical-model development; experience with CT/MRI or similar volumetric datasets; strong quantitative research, writing, and communication skills; and evidence of research productivity.
Preferred experience includes Simpleware, COMSOL, Ansys, electromagnetic or microwave modeling, heat transfer, mesh quality assessment, machine learning for segmentation, DICOM, registration, HPC, GPU computation, and prior work in medical physics or hyperthermia.
Primary supervision is by Dr. Dario Rodrigues, Associate Professor and Lead Hyperthermia Physicist. Applications should be submitted through the online job portal linked in the posting.
Funding details
Full-time, three-year postdoctoral appointment on an NIH-funded project. No stipend amount is stated.
What's required
PhD in medical physics, biomedical engineering, electrical engineering, mechanical engineering, computer science, applied physics, applied mathematics, or a closely related field. At least one year of direct research experience in medical-image segmentation and three-dimensional anatomical-model development. Experience processing CT, MRI, or comparable volumetric medical-imaging datasets. Demonstrated ability to conduct independent quantitative research and analyze complex computational results. Strong scientific writing, communication, and organizational skills. Peer-reviewed publications or other evidence of research productivity preferred. Preferred experience includes Simpleware or similar segmentation/mesh software, COMSOL Multiphysics, Ansys, electromagnetic or microwave modeling, heat transfer or bioheat modeling, finite-element meshing, Python/MATLAB/C++ workflow automation, machine learning for segmentation, DICOM, registration, HPC, GPU computation, and medical physics or hyperthermia experience.
How to apply
Apply through the University of Maryland Taleo job posting using the provided link. Review the full job description and submit the application materials in the portal.
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