The Department of Radiation Oncology at the University of Maryland School of Medicine is seeking one or more highly motivated postdoctoral fellows to perform cutting-edge research in AI for radiation therapy. Research areas include developing and implementing AI techniques for image-guided radiation therapy, such as image reconstruction, processing, synthesis, and registration, as well as AI for treatment outcome prediction and clinical decision making. The projects will involve using multi-modality images (CT, CBCT, MRI, PET, Ultrasound) and clinical software in radiation therapy such as treatment planning and image guidance tools. The overall goal of the research is to develop practical AI technologies that can directly benefit patient care in radiation therapy.

Training and Career Path

This is a 2-3 year, full-time, mentored research position. The successful candidate will receive regular mentorship and evaluation, be trained and encouraged to disseminate research findings in major national conferences and peer-reviewed publications, and to seek extramural research funding.

The trainee can pursue an academic, industry, or clinical professional career afterward. The Radiation Oncology department has a CAMPEP approved Medical Physics certificate program. The postdoc fellow will have the option to enroll in the certificate program with the tuition waived upon satisfactory performance. Finishing the certificate program will render the candidate eligible for medical physics residency training and become a clinical medical physicist or faculty afterward.

More information about a clinical medical physics career can be found on the following website:

https://w3.aapm.org/medical_physicist/index.php

Medical physicists are well-paid and stable professionals, and they are the only non-MD professionals certified by the American Board of Medical Specialties (ABMS). Medical physicists collaborate with physicians closely in patient imaging, treatment planning and delivery, and quality assurance in routine clinical practice.

Qualifications and Skills

Ph.D. in Medical Physics, Physics, Mathematics, Electrical Engineering, Computer Science, Biomedical Engineering, or a related field is required. Expertise is required or highly desired in one or more of the following areas: algorithms, analytical derivation, data analysis, coding, or mathematical modeling. Strong programming skills are highly desired. The candidate should demonstrate strong motivation in pursuing research developments in the medical field.