Luyu Liu
5 months ago
PhD position in Geography, Transportation Engineering, Computer Science, or related field Auburn University in United States
Degree Level
PhD
Field of study
Computer Science
Funding
A fully funded PhD position is offered with a competitive stipend. The position includes access to state-of-the-art research facilities and resources, and opportunities for collaboration with leading experts in transportation and AI. Tuition and stipend details are not specified but the position is described as fully funded.
Deadline
Aug 1, 2026
Country
United States
University
Auburn University
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Where to contact
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About this position
The EcoTrans Lab at Auburn University, led by Dr. Luyu Liu, is recruiting a highly motivated PhD student to join research efforts focused on improving urban public transportation networks through advanced AI-driven solutions, big data analysis, and real-time assessment. The lab integrates data science, AI, and GIS with transportation engineering to develop sustainable, smart, and resilient urban mobility systems.
The successful candidate will contribute to innovative projects that address challenges in modern cities, collaborating with experts in transportation and AI. Applicants should hold or be near completion of a Master's degree in Geography, Transportation Engineering, Computer Science, or a related field, and possess strong programming skills (Python), experience with big data analysis, and preferably deep learning and reinforcement learning platforms.
Advanced GIS and cartographic software skills, knowledge of transportation systems, and excellent analytical and writing abilities are required. TOEFL and GRE scores must be submitted. The position is fully funded and offers a competitive stipend, access to state-of-the-art facilities, and a dynamic interdisciplinary environment. Interested candidates should compile all application materials into a single PDF and email Dr.
Luyu Liu. The application deadline is for Spring or Autumn 2026.
Funding details
A fully funded PhD position is offered with a competitive stipend. The position includes access to state-of-the-art research facilities and resources, and opportunities for collaboration with leading experts in transportation and AI. Tuition and stipend details are not specified but the position is described as fully funded.
What's required
Applicants must have a Master's degree (earned or near completion) in Geography, Transportation Engineering, Computer Science, or a related field. Strong programming skills (e.g., Python) and experience with big data analysis tools are required, with preference for deep learning and reinforcement learning platforms (e.g., Keras, Pytorch). Knowledge of transportation systems and advanced skills in GIS and cartographic software are essential. Candidates should possess excellent analytical, problem-solving, and academic writing skills, and demonstrate a strong commitment to academic excellence and research integrity. TOEFL and GRE scores are required for application.
How to apply
Merge all required documents (CV, cover letter, transcripts, TOEFL and GRE scores, code sample, writing sample) into one PDF file and email to [email protected] with the subject line 'PhD Application – Your name'.
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