Publisher
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Markus Schläpfer

1 month ago

PhD in AI for Urban Mobility and Infrastructure Systems Columbia University in the City of New York in United States

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available
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Country

United States

University

Columbia University in the City of New York

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Keywords

Computer Science
Electrical Engineering
Mathematics
Artificial Intelligence
Urban Planning
Civil Engineering
Geometric Modeling
Programming Language
Physics
Applied Mathematic
energy storage systems
Machine learning

About this position

Markus Schläpfer, Assistant Professor of Civil Engineering & Engineering Mechanics at Columbia University in the City of New York, is recruiting a PhD student for Fall 2026.

The project is centered on AI for urban mobility and infrastructure systems, with a research agenda that aims to develop foundation-model-like approaches for urban systems by combining machine learning with ideas from urban science and complex systems.

Research topics include large-scale mobility data and infrastructure systems such as energy and transportation. The post is especially relevant for candidates interested in quantitative, computational, and data-driven work at the intersection of civil engineering, computer science, mathematics, and physics.

Preferred preparation includes a strong background in machine learning / AI, applied mathematics / physics, or civil engineering with a strong computational focus. Evidence of strong research potential is highly valued, including papers, preprints, or substantial independent projects, along with experience in modeling and code development.

To apply, send a CV and a short statement of research interests to [email protected]. Use the subject line: PhD Application – [Your Name]. Review begins immediately and continues on a rolling basis.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

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