Postdoctoral Fellow

Description:

Saint Mary’s University is offering a one-year Postdoctoral Fellowship in the Department of Mathematics and Computing Science. The research project, funded by LungNSPEI, focuses on optimizing lung stereotactic body radiation therapy (SBRT) dose prescriptions using machine learning and radiation treatment data. The selected candidate will develop predictive models for clinical SBRT dose prescriptions based on patient anatomy and collaborate with a multidisciplinary team from AI, medical physics, and healthcare analytics. The position is aimed at advancing machine learning techniques to improve clinical decision-making and streamline radiation treatment planning.

Responsibilities:

• Work with anonymized CT scans and clinical data from lung SBRT patients.

• Develop advanced machine learning models for predicting clinical SBRT dose prescriptions.

• Analyze 3D models of tumors and organs at risk to extract geometric features.

• Apply explainable AI techniques for model transparency.

• Collaborate with researchers from computer science, medical physics, and healthcare analytics.

• Prepare peer-reviewed publications and present findings at conferences.

• Assist with other AI-related research projects.

Required Qualifications:

• PhD in Computer Science, Biomedical Engineering, Medical Physics, or a related field (PhD completed by start date).

• Strong background in machine learning, computer vision, or deep learning.

• Experience with 3D medical imaging data (e.g., CT or MRI) and/or radiation therapy.

• Proficiency in Python, C-sharp, and relevant ML libraries (e.g., PyTorch, TensorFlow, scikit-learn).

• Excellent written and verbal communication skills.

• Ability to work independently and as part of a collaborative team.

Preferred Qualifications:

• Experience with medical imaging.

• Familiarity with radiotherapy workflows or clinical data analysis.