This summer, ten undergraduate students from across the U.S. will be selected to participate in UCF's Center for Research in Computer Vision (CRCV) REU site. Participants will be learning and researching on cutting-edge problems in the fields of Computer Vision and Artificial Intelligence. The start date will be around May 18, 2026; the end date will be around August 1, 2026. This year's REU site will be held in-person at UCF's Main Campus in Orlando, Florida. Students will begin the summer program with a two week introductory course in classical and modern Computer Vision techniques. The course will focus on both the theory behind Computer Vision and the hands-on skills required to put that theory into action (e.g. learning/practicing Python, running experiments in a Linux based GPU cluster, etc.). The goal of this introductory course is to provide students with a level of "working" knowledge in the field so that they may conduct and participate in engaging research for the remainder of the summer. At the conclusion of the introductory course, faculty and graduate researchers will give presentations on available research topics. Students will then work with project staff to select a single topic which is the most interesting and best suited for them. Students will work full time on their individual research projects during the summer semester. Each student will be paid a stipend of $7,000 for the summer. Each student will also receive a small meal allowance and a summer housing allowance. Out of state students who are motivated and interested may be given the option to continue working (remotely) on their projects during the Fall and Spring semesters (for an additional stipend). Including a CV, resume and references is not necessary when applying to this program. For additional information about the program, check-out the links listed below, or email shah@crcv.ucf.edu
Computer Vision, Artificial Intelligence, AI, Computer Science, Mathematics, Statistics, Transformers, Convolutional Neural Networks, Deep Learning, Machine Learning, Facial Recognition, Medical AI, Cancer Detection, Autonomous Vehicles, Self-Driving, Explainable AI, Object Detection
Requirements: U.S. citizens, U.S. nationals, or permanent residents of the United States Enrolled in an undergraduate institution (not necessarily in the United States) Sophomore, Junior, or Senior Majoring in at least one of the following: Computer Science, Computer Engineering, Electrical Engineering, Mathematics, Statistics, and related fields. GPA of 3.0 or above Be available for a full-time schedule of research and events (not enrolled in summer courses)
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