Postdoc in AI for Imaging in Radiation Oncology

This position is for a postdoctoral researcher specializing in artificial intelligence applications within the domain of imaging for radiation oncology. The role likely requires advanced knowledge of AI techniques such as machine learning, deep learning, and image analysis, applied specifically to medical imaging data used in radiation therapy planning and assessment. Candidates should possess strong skills in programming languages commonly used in AI research, such as Python or MATLAB, and experience with AI frameworks like TensorFlow or PyTorch. Expertise in medical imaging modalities relevant to radiation oncology, including CT, MRI, or PET scans, is essential. The postdoc is expected to have a solid background in radiation oncology principles to effectively interpret imaging data and collaborate with clinical teams. Experience with image processing, segmentation, and quantitative imaging biomarkers would be highly valuable. The role may also involve handling large datasets, requiring proficiency in data management and statistical analysis. Strong analytical and problem-solving skills, along with the ability to design and conduct experiments, are important. Given the academic nature of the position, a PhD in a relevant field such as biomedical engineering, computer science, medical physics, or a related discipline is implied. Excellent communication skills for publishing research findings and collaborating in multidisciplinary teams are also critical. Overall, the ideal candidate combines expertise in AI methodologies, medical imaging, and radiation oncology to advance imaging-based solutions in cancer treatment.