Summer Diversity Fellowship Program in Medical Physics
Massachusetts General Hospital Physics Division
Location: 02114, Massachusetts
Research and Development
Telecommuting is allowed.
The Radiation Oncology Physics Division at Mass General is recruiting an undergraduate student from a diverse background for a 10-week medical physics fellowship program this summer. Racial/ethnic minorities, women, members of the LGBTQ+ (lesbian, gay, bisexual, transgender, queer, and more) community, and persons with disability are strongly encouraged to apply.
About the program
The selected candidate will work with a Harvard faculty Physicist on a research and development project that is designed to motivate the student to continue to pursue a career in medical physics. The student will also have opportunities to get didactic and hands-on experiences on radiation therapy.
Completed at least 2 years of undergraduate studies and have declared (or are eligible to declare) a major in physics, engineering, or other sciences
United States (US) citizen or permanent US resident
Have not previously participated in the American Association of Physicists in Medicine (AAPM) DREAM Summer Fellowship
The fellowship can be virtual or in person, based on hospital policy and student preference. Upon successful completion of the fellowship, a stipend of $5,500 will be granted. Questions? Please email Yi Wang, PhD, Diversity Fellowship Program Director: email@example.com.
How to apply
Enter bit.ly/mgcc2023physicsfellow into your internet browser. You will be required to submit the following no later than March 31, 2023.
About Massachusetts General Hospital Physics Division
The Department of Radiation Oncology at Massachusetts General Hospital combines clinical expertise, compassionate care, and advanced radiation therapies to deliver the safest, most effective treatments for cancer and benign tumors. The goal of the Division of Radiation Biophysics within the department is to improve clinical outcomes by leading innovative research, development, and clinical application of imaging techniques, multimodality therapies, and computational methods while providing patients with the highest level of safety, efficiency, and accuracy of their treatments.
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