Postdoctoral Fellow Positions in Artificial Intelligence for Radiation Oncology

About the role

The Ren Laboratory in the Department of Radiation Oncology at Northwestern University is seeking highly motivated Postdoctoral Fellows to join our AI research program focused on developing and translating cutting-edge artificial intelligence technologies for radiation therapy.

Research areas

• Development and implementation of advanced AI techniques for image-guided radiation therapy, including image reconstruction, enhancement, synthesis, segmentation, and registration.
• AI-driven approaches for treatment outcome prediction and clinical decision-making.
• Projects involving multimodality imaging data, including CT, MRI, PET, and Ultrasound, as well as clinical radiation oncology software platforms such as treatment planning and image guidance systems.

Role

A trainee with an interest in a career in the development and translation of AI for cancer care.

Desired Skill Sets

• A PhD in Engineering, Math, Physics, Computer Science or a related field.
• Strong programming and computational skills.
• Experience in AI development, mathematical modeling or data analysis.
• A highly motivated scientist with particular attention to detail and the ability to independently plan, design and implement experiments.
• Ability to work cooperatively with multidisciplinary teams and present results at team meetings.

Career development and opportunities

• Acquire diverse computational and translational research skills while working on impactful projects at the forefront of AI and cancer care.
• Collaborate extensively across Northwestern’s world-class cancer research ecosystem, including experts in radiation oncology, medical oncology, surgery, genomics, pathology, cancer biology, and data science.
• Opportunities for collaboration with the Northwestern McCormick School of Engineering and industry partners to facilitate translation and commercialization of innovative technologies.
• Mentorship in scientific leadership, grant writing, project management, technology translation, and career planning.

Expectations

• Lead and develop innovative AI research projects addressing important clinical challenges in cancer imaging and therapy.
• Work effectively with multidisciplinary teams and external collaborators.
• Attend and present at national and international scientific conferences.
• Establish a strong and consistent publication record.
• Contribute to and lead applications for extramural funding.