Medical Artificial Intelligence Applications for Radiation Oncology
University of Rochester
Apply to project
Posted 93 days ago
10 hours/week
Remote, Hybrid
Class of 2025, 2024, 2023
Decision by 03/29/2024
Engineering/ Math/ Computer Science, Natural and Biomedical Sciences
Biomedical Engineering, Computer Science, Data Science, Physics
Are you an undergraduate student passionate about revolutionizing healthcare through technology? Join our cutting-edge research team in Department of Radiation Oncology at URMC, where we are pioneering the integration of Artificial Intelligence (AI) in the field of Radiation Oncology. Selected students will work alongside leading experts in the fields of AI, medical physics, and oncology, and participate in groundbreaking research focusing on the development and application of AI algorithms in improving radiation therapy for cancer patients. Through the internship, you may gain valuable hands-on experience in data analysis, machine learning, and AI model development specifically tailored for medical applications, and in literature search and evaluation. You may enhance your skills in programming, data science, and interdisciplinary collaboration, and engage in research that could lead to publications in prestigious journals and presentations at international conferences.
Desired Experience
Major in Computer Science, Biomedical Engineering, Physics, PreMed, or a related field. A strong foundation in programming (Python, R, etc.), and a keen interest in AI and machine learning is preferred. A strong analytic skill and scientific writing skill is a plus. Research interns are accepted during the school year and for the upcoming summer. A minimum of 10 hours/week commitment (20 hours/week during the summer) is required and more intensive efforts are preferred. Interested candidates should submit a resume and a brief statement of interest (max 500 words) to dandan_zheng@urmc.rochester.edu.
About the Mentor
blank

Dandan Zheng

Professor
Biomedical Engineering, Computer Science, Data Science, Physics dandan_zheng@urmc.rochester.edu
No Description