Florida Atlantic Research Experience for Undergraduates (REU) Opportunity

Throughout the project, REU participants will deeply engage with AI and IoT technologies to enhance city asset management, public safety, and environmental sustainability at a streetscape level. Ultimately, this project aims to create streetscape applications that harness real-time, hyper-local intelligence to advance our cities' livability, resiliency and safety. This REU project perfectly aligns with the vision of the NSF Engineering Research Center (ERC) for Smart Streetscapes (CS3) is the NSF's major research investment in shaping upcoming significant research areas for the next decade. While exploring novel engineering solutions for smart cities, REU participants will have tangible research experience in smart cities, ranging from innovative sensor data collection to cutting-edge data science techniques. REU participants will be involved in developing IoT sensing platforms, data analytics, visualization, and machine learning to establish holistic approaches for real-world smart city challenges and problems. The REU participant will learn how to get data, how to process data, and, more importantly, how to integrate data to draw greater impacts of data on cities. In addition to advanced sensing and embedded network applications, the participant will deepen fundamental knowledge in data science through this project, such as machine learning, optimization, information theory, and signal processing. The project will provide a meaningful and enjoyable experience for the participant, supporting the participant's academic and research career. Jinwoo Jang, Ph.D., will lead the project.

The current cohort of REU students is expected to participate in our REU program in Fall 2024, Spring 2025, and/or Summer 2025.

• Fall/Spring semester: Paid Stipend of $300/week for 20 hours per week.
• Summer program: Paid Stipend of $600/week for 40 hours/week. The summer program runs for 9 weeks in summer.

• Must be U.S. citizens, U.S. nationals, or U.S. permanent residents
• GPA above 3.0
• In-person REU participation is mandatory.
• Participating all CS3 activities (e.g., CS3 Student Leadership Group, CS3 monthly research exchange meetings) is mandatory.

Apply here and include a CV, transcript, and one-page statement highlighting the vision of smart cities and the applicant’s potential contributions to the NSF ERC for CS3.

REU program for Fall 2024

The initial reviewing process for this NSF REU position starts on 08/19/2024 and is accepting rolling applications for spring/summer 2024. Applications will be accepted until all spots for the program are filled.