Publisher
source

Chalmers University of Technology

Postdoctoral Position in Coupled Transport-Energy Modeling for Transport Systems at Chalmers University of Technology Chalmers University of Technology in Sweden

Degree Level

Postdoc

Field of study

Computer Science

Funding

Salaried employment; no stipend amount, tuition, or fee waiver is mentioned.

Deadline

Aug 8, 2026

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Country

Sweden

University

Chalmers University of Technology

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Keywords

Computer Science
Data Science
Machine Learning
Environmental Science
Electrical Engineering
Transportation Engineering
Urban Planning
Civil Engineering
Industrial Engineering
Optimisation
Renewable Energy Systems

About this position

Chalmers University of Technology in Sweden is advertising a postdoctoral position in coupled transport-energy modeling with a focus on transport systems.

The project centers on integrated transport-energy modelling, including transport electrification, EV charging infrastructure, fleet behaviour, and power-grid interaction. The objective is to develop scalable models and optimization methods for coordinating electric transport systems with energy infrastructure.

This opportunity is especially relevant for candidates with backgrounds in transport engineering, electrical engineering, energy, industrial engineering, civil engineering, data science, or urban systems. Useful skills include optimization, transport modelling, energy systems, EV charging, Python, machine learning, big data, and scenario analysis.

The position is a salaried employment. No tuition or scholarship funding is mentioned, since this is a staff/research employment rather than a degree studentship.

Supervision is listed under Associate Professor Kun Gao and Professor Sonia Yeh at Chalmers University of Technology.

Deadline: 8 August 2026. Start date: by agreement.

Applicants should review the official vacancy page and prepare their materials before the deadline.

Funding details

Salaried employment; no stipend amount, tuition, or fee waiver is mentioned.

What's required

Applicants should have a suitable background in transport engineering, electrical engineering, energy, industrial engineering, civil engineering, data science, or urban systems. Relevant skills include optimization, transport modelling, energy systems, EV charging, Python, machine learning, big data, and scenario analysis. The post is a salaried employment and is intended for a postdoctoral candidate.

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