Postdoc in Resilient and Equitable Mobility Systems

Chalmers Tekniska Högskola Aktiebolag; Göteborgs kommun; On-site; SEK 390,600 - 558,000; Full time

Job summary

Chalmers Tekniska Högskola Aktiebolag in Gothenburg is seeking a postdoctoral researcher to contribute to a Formas-funded project in Complex Mobility Systems. You will connect empirical mobility data with theories of complex systems and engage in independent research.

The role requires a strong background in computational methods, a doctoral degree in a relevant discipline, and the ability to communicate scientific results effectively in English. Applications close on August 11, 2026.

Qualifications

• Doctoral degree in fields like complex systems or computational social science.
• Documented ability to conduct independent research.
• Experience in quantitative modelling and data methods.

Responsibilities

• Conduct independent and collaborative research.
• Develop frameworks for resilient and equitable mobility systems.
• Model adaptation to disruptions and evaluate indicators.

Skills

Strong computational skills

Mathematical skills

Modelling skills

Data analysis

Agent-based modelling

Geospatial data analysis

Transport simulation

Communication in English

Education

Doctoral degree in a relevant field

Job description

We are looking for a postdoctoral researcher in Complex Mobility Systems. The position is part of a Formas‑funded project developing dynamic synthetic populations and mobility digital twins for resilient and equitable transport planning. The project combines agent‑based modelling, large‑scale mobility data, transport networks, generative modelling, resilience indicators, and equity analysis.

About the project

The postdoctoral researcher will contribute intellectually to the theoretical development of the project, connecting empirical mobility data and computational modelling with theories of complex systems, network dynamics, resilience, disruption response, adaptation, inequality, or urban systems.

About the institution

The candidate will be based at Chalmers University of Technology in Gothenburg, Sweden. The division promotes multidisciplinary research and offers courses linked to its research areas. Our group, STEAM – Sustainable Transport, Energy Analytics and Modelling, studies how people, vehicles, infrastructure, digital systems and energy systems interact with applications in sustainable mobility, electrification, resilience, equity and policy analysis.

Qualifications – Mandatory

• A doctoral degree in a relevant field such as complex systems, network science, transport systems, urban science, computational social science, applied mathematics, physics, computer science, geography, urban planning, engineering, data science, resilience studies, or a closely related field.
• The degree must have been awarded before the start of employment.
• Documented ability to conduct high‑quality independent research.
• Strong computational, mathematical, or modelling skills relevant to complex mobility systems, including the ability to implement and validate models using empirical or synthetic mobility data.
• Experience with quantitative modelling, simulation, data analysis or computational methods.
• Very good ability to write and communicate scientific results in English.
• Experience with at least one of the following: agent‑based modelling, activity‑based travel modelling, geospatial data analysis, mobility data analysis, generative modelling, transport simulation, network modelling, or data fusion.
• Ability to work both independently and in interdisciplinary research teams.

Qualifications – Preferred

• Experience in resilience science or empirical disruption analysis using large‑scale mobile phone data.
• Experience in digital twins and policy analysis related to mobility.
• Mentoring or teaching experience with junior researchers or students.

Responsibilities

• Conduct independent and collaborative research within the project.
• Develop computational and conceptually grounded frameworks for resilient and equitable mobility systems.
• Advance agent‑based, network‑based or complex systems models of mobility under disruption.
• Contribute to the design of dynamic synthetic populations and behaviourally plausible mobility agents.
• Model how individuals, groups and networks adapt to disruptions, including sudden events and forewarned hazards.
• Develop or test indicators for robustness, recovery, vulnerability, accessibility loss and equity impacts.
• Work with large‑scale mobility, transport network, census, land‑use or other urban data.
• Contribute to open, reproducible research workflows, model documentation and scientific publications.
• Collaborate with researchers in mobility data science, urban analytics, human mobility, resilience, digital twins and policy analysis.
• Help connect the project’s empirical, computational, and theoretical components, and mentor junior researchers or students where appropriate.
• Implement and validate models related to dynamic synthetic populations, activity‑based mobility patterns, disruption response, and resilience or equity indicators.

Contact

Sonia Yeh, Professor, Department of Environmental and Energy Sciences. Email: [e-mail], 031-772-6716.

Application deadline: 2026-08-11. Shortlisting is planned for late August, with first interviews expected around 1 September.