An Instructor position is available immediately in the Division of Medical Physics and Engineering within the Department of Radiation Oncology at The University of Texas Southwestern Medical Center. This position is ideal for an individual interested in pursuing a career in computational medical physics, medical engineering, and clinical software development.
Applicants must have a Ph.D. in physics, engineering, applied mathematics, computer science, or a related discipline. Strong programming skills are essential. The ideal candidate will have a passion for scientific programming and demonstrated experience developing software tools for research or clinical applications. Excellent written and oral communication skills are also required, along with initiative, problem-solving ability, and a strong commitment to teamwork.
This position is part of an ongoing effort to translate our extensive research in artificial intelligence and other computational fields into clinical practice. Contributions to open-source software through platforms such as GitHub, Stack Overflow, and CodeProject are highly desirable.
Experience with web-based application frameworks, database management, and programming languages such as Python, C++/C#, JavaScript, and Go is preferred. Knowledge of Django, Docker, and Kubernetes is a strong plus.
The candidate is expected to work closely with clinical medical physicists and researchers in Medical Artificial Intelligence and Automation Lab (http://www.utsouthwestern.edu/labs/maia).
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.
This position is security-sensitive and subject to Texas Education Code 51.215, which authorizes UT Southwestern to obtain criminal history record information.
Appointment rank will be commensurate with academic accomplishment and experience. Consideration may be given to applicants seeking less than a full-time schedule.
To learn more about the benefits UT Southwestern offers, visit https://www.utsouthwestern.edu/employees/hr-resources/
Benefits
UT Southwestern is proud to offer a competitive and comprehensive benefits package to eligible employees. Our benefits are designed to support your overall wellbeing, and include: