The Syracuse University Louis Stokes Alliance for Minority Participation (LSAMP) Research Program is a paid summer research opportunity that provides undergraduate scholars with the opportunity to work with distinguished faculty and staff as well as network with others in their field of interest. Student scholars have the opportunity to conduct and present research over a ten-week period under the direction of a faculty research mentor at Syracuse University.
Through this program, scholars will gain theoretical knowledge and practical training in academic research and scientific experimentation. The SU LSAMP research program was developed to aid in the retention of historically underrepresented groups in the sciences, technology, engineering, and mathematics (STEM).
The 2023 Summer REU program will be June 5-August 11.
APPLY TO SUMMER REU
Application Deadline: March 1, 2023
Notification of Acceptance: April 1, 2023
Apply at https://academicopportunity.syr.edu/lsamp/programs/summer-reu/.
Benefits
·$4000 research stipend.
·Round-trip travel stipend of up to $150 (For students living outside of the Syracuse area)
·Free double occupancy room and board on the SU campus
·State-of-the-art laboratories, libraries, computers, etc.
·Meals provided during group events
Eligibility
·Students must be a U.S. Citizen or Permanent Resident and African American/Black, Hispanic/Latino, Native American, Alaska Native, Native Hawaiian or Other Pacific Islander.
·Applicants must be in good academic standing with a GPA of 2.80 or better
·Have completed at least two semesters of college
·Participants may NOT take courses during the summer program
Research Areas
Students may apply for research opportunities in any of the following STEM disciplines: Applied Mathematics, Architecture, Biochemistry, Biology, Biotechnology, Chemistry, Computer Science, Earth Science, Engineering (Aerospace, Biomedical, Chemical, Civil, Computer, Electrical, Environmental, Mechanical), Information Sciences, Mathematics, Neuroscience, Nutrition Sciences, Physics, Statistics, Systems Science.
