This is a visiting faculty position within the Division of Medical Physics and Engineering. Appointment will be at the rank of Visiting Assistant Professor. Applicants must have a Ph.D. degree in medical physics or a related field. They will work on projects including AI-driven image reconstruction, image registration and image segmentation. The candidate will apply machine learning and deep learning techniques to solve challenges in today's image-guided radiation therapy, including real-time low-contrast liver tumor localization, automatic structure segmentation for on-line adaptive radiotherapy, and real-time MRI motion estimation and reconstruction.UT Southwestern is a leading institution conducting academic research. With six Nobel Laureates and 25 members of the National Academy of Sciences currently on faculty, UTSW is among the top five biomedical research institutions in the nation. The Department of Radiation Oncology is a leader in the development and clinical implementation of innovative treatment strategies. The department currently has a total of 22 MD and MD/Ph.D. physicians and 14 medical residents. The Division of Medical Physics and Engineering currently has 31 faculty-level physicists, 12 full-time dosimetrists, five research/service engineers and many postdoctoral researchers and graduate students.Steve Jiang, Ph.D., Director of Medical Physics and Engineering
UT Southwestern Medical CenterDepartment of Radiation Oncology2280 Inwood Road Dallas, Texas 75390-9303

Consideration may be given to applicants seeking less than a full-time schedule. Appointment rank will be commensurate with academic accomplishments and experience. This position is security-sensitive and subject to Texas Education Code 51.215, which authorizes UT Southwestern to obtain criminal history record information.UT Southwestern Medical Center is committed to an educational and working environment that provides equal opportunity to all members of the University community.As an equal opportunity employer, UT Southwestern prohibits unlawful discrimination, including discrimination on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity, gender expression, age, disability, genetic information, citizenship status, or veteran status. To learn more, please visit: