RESEARCH & RESIDENCY POSITION IN MEDICAL PHYSICS, Department of Medical Physics
About The Position
We have an opening for a hybrid research and medical physics residency position in the Department of Medical Physics, with a flexible start date for the right candidate. This is a hybrid residency program in which a two-year grant-funded research project is followed by a two-year clinical residency in either therapeutic or diagnostic medical physics. Those who enter the 4-year program without CAMPEP credentials must apply to enroll in a concurrent CAMPEP Certificate program. If you are accepted into the Certificate program, the department will provide full tuition reimbursement. You will be required to complete the Certificate program during the first two years of the program before entering clinical training. The two-year research project will be focused on deep learning based dose accumulation for pancreas patients undergoing MR-guided radiotherapy under the direction of Drs. Neelam Tyagi and Harini Veeraraghavan in collaboration with a dynamic team of clinicians and research scientists. The candidate is responsible for developing and investigating longitudinal and multi-modal AI models for deformable image registration and dose accumulation, conducting large-scale retrospective analysis, and preparing manuscripts for publication. Additionally, the candidate will have the opportunity to contribute to other research projects undertaken by the team as appropriate.
Requirements
- Doctorate in physics, medical physics, computer science, biomedical/electrical engineering, or similar scientific discipline.
- Interest in and commitment to high quality patient care.
- Experience in medical imaging and machine learning for data extraction.
- Programming skills with Python, Pytorch, C++, and MATLAB
- Expertise in computer vision/medical image analysis and machine/deep learning
- Additional requirements may be necessary for admission into a concurrent certificate program
Nice To Haves
- Experience in biostatistical analysis preferred.
Responsibilities
- developing and investigating longitudinal and multi-modal AI models for deformable image registration and dose accumulation
- conducting large-scale retrospective analysis
- preparing manuscripts for publication
- contribute to other research projects undertaken by the team as appropriate
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
Ph.D. or professional degree
Number of Employees
5,001-10,000 employees
