Machine Learning for First Generation Students |
Texas A&M University's FIGURES program on Machine Learning is a National Science Foundation-sponsored year-long program for first generation undergraduate students. Participants will learn about machine learning techniques in the context of smart system design for potential industry applications.am will provide opportunities for undergraduate students to learn about machine learning in the context of smart system design. Program objectives are to help participants to understand the research process, to acquire laboratory skills, and to be well-positioned for graduate school and career success. Activities will include joining a research group led by a faculty mentor, completion of a 8-week research project, and participation in weekly faculty seminars, field trips, and career development workshops. Students will write a report and present their research to their REU cohort and at an REU poster session on campus. Program objectives are to help participants to understand the research process, to acquire laboratory skills, and to be well-positioned for graduate school and career success by participating in a year-long project. Activities will include joining a research group led by a faculty mentor, completion of an eight-week research project, participation in weekly seminars, career development workshops, and monthly research meetings.Stipend Each participant will receive a stipend of $7000 for participation in the program. The stipends will be distributed as follows: Summer, $4000 ($500 per week for 8 weeks); fall and spring ($300/month for 9 months). They will also receive $150 after presenting their findings at the fall showcase, and another $150 for presenting findings at the spring showcase. They will also receive 1.0 credit hour of undergraduate course credit. Eligibility Criteria for selection include: 1) neither parent or guardian has obtained a four-year degree; 2) desire to participate in research as evidenced by application responses and faculty recommendation; 3) completion of at least the sophomore year of the curriculum for an academic major in engineering, computer science, or the life sciences; 4) GPA of 3.00 or above (exceptions may be made based on review of an applicant’s last 60 hours of coursework); 5) citizen or permanent resident of the U.S. or its possessions; and 6) plan to graduate no earlier than December 2025. Program Dates and Application Process An application form is available at: http://people.tamu.edu/hsieh/FIGURES/TAMU_FIGURES_application2.pdf. Complete and sign this application, and send it together with your resume and sealed copies of a current official transcript and one faculty recommendation letter to Dr. Sheng-Jen (“Tony”) Hsieh, Dept. of ETID, 3367 TAMU, College Station, TX 77843-3367. Application deadline is May 10, 2024. Notifications about acceptances will be sent out by May 24. If you have questions, please contact the site director, Professor Sheng-Jen (“Tony”) Hsieh at hsieh@tamu.edu
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