FAU Research Experience for Undergraduates (REU) Opportunity
Project title: AI and SENSING for SMART CITIES
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.
Information on Program
Spring program is on-going, ending 5/5/23
Paid stipend of $300/week for 20 hours per week (hours to be determined by mentor/program)
Summer program dates 6/05/23-8/04/23
Paid stipend of $600/week for 40 hours per week. Hours will be 8am-5pm.
REU participants must commit to working spring and summer 2023.
- Student expectations/qualifications: GPA higher than 3.0, programming skills and summer commitments. Must be an enrolled undergraduate student – priority will be given to students in junior and senior year.
- Deadline for applicants: This NSF REU program is now accepting applications for spring/summer with potential additional openings each semester. Applications will be accepted until all spots for the program are filled.
How to apply
Complete application and include required items.
Must include: CV, transcript, and one-page statement highlighting the vision of smart cities and the applicant’s potential contributions to the NSF ERC for CS3.