Openings

Postdoctoral Researchers

Dr. Yuebing Liang (Tsinghua University) is recruiting Postdoctoral Researchers working at the intersection of sustainable mobility, AI, and urban planning. We welcome applicants from diverse academic backgrounds, particularly those with training in transportation engineering, urban and regional planning, geography/GIS, data science, or artificial intelligence, and with a strong interest in interdisciplinary research.

Potential research topics include but are not limited to: sustainable transportation systems, electric mobility and transport–power grid coordination, climate impacts on travel and activity behavior, AI-based transportation modeling and decision support.

Requirements: Applicants should hold a PhD (typically within the past three years), demonstrate strong research potential, and show enthusiasm for collaborative academic research.

Application: Please send a detailed CV to liangyb@mail.tsinghua.edu.cn (Email subject: Postdoctoral Application + Name + Current Institution)

Ph.D./Master Students

Dr. Yuebing Liang at Tsinghua University (THU) is seeking highly motivated Ph.D. and Master’s students with a strong interest in the interdisciplinary fields of artificial intelligence, human mobility, and urban planning. Research topics may include, but are not limited to: human mobility modeling, spatiotemporal data mining, Generative AI for urban planning, big data and travel behavior analysis, and social computing and urban AI. We welcome students from diverse academic backgrounds, particularly:

• Background (type 1): major in urban planning, urban management, GIS, landscape, human geography, or architecture, but also with background and strong interests in machine learning, statistics, and other advanced technical background.
• Background (type 2): major in transportation, civil engineering, computer science, or other engineering fields, but with strong interests in smart city applications.

Note: For those targeting admission in Fall 2027, early contact and potential collaboration experience is strongly encouraged to help us know each other.

Research Assistant (RA)

Part-time and full-time Research Assistant (RA) positions are available for students or junior researchers interested in gaining hands-on research experience in preparation for a future academic or research career.

The expectations and qualifications for RAs are similar to those for graduate students. Ideal candidates should demonstrate strong motivation, relevant academic training, and a passion for research in AI and urban science.