Two Fully Funded Ph.D. Positions in the Mobility-Eco Technology Lab (METLab) at UofL

Apply for Two Fully Funded Ph.D. Positions in the Mobility-Eco Technology Lab (METLab) at the University of Louisville

Position: Ph.D. Student

Start Date: Summer/Fall 2024

Prof. Brian Yueshuai He of the Department of Civil and Environmental Engineering at the University of Louisville is actively looking for two new Ph.D. students to join his lab. Selected candidates will work on the following areas: transportation system modeling, artificial intelligence and deep learning, agent-based simulation, human mobility and trajectories, spatial-temporal data analysis, and electric vehicles. Specifically, the candidates may work with agent-based modeling, large-scale microsimulation, or perform analysis, modeling, simulation, control, and deployment of future mobility systems.

Candidates with backgrounds in agent-based modeling, artificial intelligence, data science, statistics, and/or any related areas are encouraged to contact Dr. He directly at yueshuai.he@louisville.edu. Strong computer programming skills (e.g., Java, Python with provable experiences) are preferred.

About UofL and Louisville: The University of Louisville is a public university located in Kentucky's largest metropolitan area. As one of only 80 universities in the United States to earn recognition by the Carnegie Foundation as both a Research 1 (R1: Doctoral Universities - Very high research activity) and a Community Engaged university, UofL is uniquely positioned to impact lives in areas of student success and research and innovation.

Lab highlights:

1. Interdisciplinary research environment interacting with computer science, data science, transportation policy/planning, environmental engineering, and public health, etc.

2. Cutting-edge Research opportunities with large-scale real-world and synthetic datasets, Al and deep learning models, and spatial-temporal data analysis.

3. State-of-the-art facility: access to high-performance computing server and driving simulator.

Brian Yueshuai He: https://www.brianyueshuaihe.com

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