JHU Computational Sensing + Robotics REU
The REU program in Computational Sensing and Medical Robotics(CSMR) is an intensive, ten-week program of laboratory research and instruction, beginning at the end of May and concluding in early August. Projects are available in Electrical and Computer Engineering, Mechanical Engineering, Biomedical Engineering and Computer Science. Students are awarded a $5,000 stipend and are given housing for the summer.
With a particular focus given to women and under-represented minorities, students from institutions nationwide will be recruited to participate in research projects pursued by faculty and researchers at the Laboratory for Computational Sensing and Robotics (LCSR). Each student will be a part of a collegial research team, including a faculty project supervisor and a graduate student mentor, to guide them through the summer. The projects will be designed to match each student’s interest to maximize the potential for making a contribution during the session. Many projects have been identified, and new projects emerge each year. Participating students also receive instruction on technical communication, oral presentation skills, and research ethics to aid in the completion of the required final research report and presentation. Additional activities will include tours and trips to other labs. The participants will also take part in a poster session at the end of the program. One student will be selected to present their research at the REU Symposium hosted by the Council on Undergraduate Research in the fall.
due midnight EST: Sunday, February 21, 2021
Must be a US citizen or a Permanent Resident
Students will need to provide the following:
- a cover letter with your name, grade level, and top three project selection
- CV or resume
- research statement including an explanation of why you should be selected for the projects you listed on your cover letter. Please be sure to link your skills and interests to the projects.
- transcripts (unofficial or official will be accepted)
- two letters of recommendations from past or current professors or other research professionals with whom you have worked.
- If you are a permanent resident, please include a copy of your permanent residency card with your application materials.