Multiple Hourly Research Assistant Positions on Connected and Automated Vehicles (CAVs) in the High-Performance Computer Laboratory for Sustainable and Intelligent Transportation Systems (SITS-Lab)
Multiple Hourly Research Assistant positions are available at Michigan Tech. Prospective students will work on modeling and on-road testing vehicular ad-hoc network (VANET) systems with Cellular V2X onboard units (OBUs) and roadside units (RSUs). Students’ backgrounds and interests are preferred in wireless network communication, real-time systems, hardware-in-the-loop testing, systems integration, software development, machine learning, and data analytics. Students are expected to help build VANET systems using C++ in Linux/Windows, work with hardware, data collection and analytics, and travel to testing facilities to test connected and automated vehicles in the real world. Students who took the CS4461/EE4272 – Computer Networks or equivalent are highly recommended. The hourly pay rate will be $15 per hour. A minimum of 10 hours per week is required, and 20 hours per week is expected.
Students are expected to work in the high-performance computing Laboratory for Sustainable and Intelligent Transportation Systems (SITS-Lab) in Dow 842 with Dr. Kuilin Zhang and his Ph.D. students. In the Transportation Systems area, Dr. Zhang's research focuses on transportation network modeling and optimization, Intelligent Transportation Systems, logistics and supply chain systems, traffic flow theory, traffic simulation, mobile sensing, big traffic data analytics, connected and automated vehicles, and plug-in electric vehicles. In the Computer Science area, Dr. Zhang's research focuses on Vehicular Ad-hoc Networks (VANETs), the Internet of Things (IoT), Cyber-Physical Systems (CPS), High-Performance Computing, Real-time Systems, Deep Reinforcement Learning (DRL), GNN, and Real-Time Machine Learning. Interested applicants from transportation engineering, electrical and computer engineering, computer science, and applied computing are encouraged to contact Dr. Zhang directly by sending a complete resume to klzhang@mtu.edu, You are expected to have
a passion for research areas in connected and automated vehicles, Cyber-Physical Systems, VANET, Internet of Things, and smart cities.
and proficient programming skills in C++ in Linux and Windows (using TCP/IP).
Dr. Kuilin Zhang is an Associate Professor in the Department of Civil, Environmental, and Geospatial Engineering (CEGE) in the College of Engineering and an Affiliated Associate Professor in the Department of Computer Science (CS) in the College of Computing at Michigan Tech, Houghton, Michigan, U.S.A. Dr. Zhang is also a faculty affiliate of the Michigan Tech Transportation Institute (MTTI), the Institute of Computing and Cybersystems (ICC), and the Power Systems Engineering Research Center (PSERC). Dr. Zhang received his Ph.D. in Transportation Systems Analysis and Planning from the Department of Civil and Environmental Engineering at Northwestern University in December 2009. After working as a Postdoctoral Fellow in the Transportation Center at Northwestern, he joined the Energy Systems Division at Argonne National Laboratory as a Postdoctoral Appointee in November 2010. He joined Michigan Tech in August 2013. Dr. Zhang was a member of the Transportation Research Board (TRB) standing committees of Transportation Network Modeling (AEP40) and Freight Transportation Planning and Logistics (AT015), as well as a voting member of the Society of Automotive Engineers (SAE) Cooperative Driving Automation (CDA) Committee and BSM Task Force. He is also a member of IEEE, INFORMS, and ITE. Dr. Zhang's research has been supported by the National Science Foundation (NSF), the Department of Energy (DOE), the Department of Transportation (DOT), and the Michigan DOT (MDOT). He and his student also received the 2022 Gartner Prize for the "Best Paper on Traffic Flow Theory" from TRB ACP50 Traffic Flow Theory and Characteristics Committee. Dr. Zhang was a recipient of the NSF CAREER Award in 2019.