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Annika Lang

2 weeks ago

Postdoc in Stochastic PDEs for Transport Networks Chalmers University of Technology in Sweden

Degree Level

Postdoc

Field of study

Computer Science

Funding

Available

Deadline

Sep 30, 2026

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Country

Sweden

University

Chalmers University of Technology

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Keywords

Computer Science
Data Science
Systems Engineering
Mechanical Engineering
Mathematics
Civil Engineering
Uncertainty Analysis
Graph Theory
Automatic Control
Statistics
Public Transportation
Geostatistic
Applied Mathematic

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About this position

Postdoc in Stochastic PDEs for Transport Networks at Chalmers University of Technology, Sweden. This is an interdisciplinary postdoctoral position in the PRONTO project at the Department of Mathematical Sciences, working at the intersection of applied mathematics, automatic control, and data science. The project focuses on modeling public transport networks with stochastic partial differential equations and understanding uncertainty in large-scale infrastructure systems.

Research environment. The Department of Mathematical Sciences is a joint department of Chalmers University of Technology and the University of Gothenburg, and the position is based in Gothenburg. The division involved conducts research in computational mathematics, optimisation, biomathematics, statistics, and data science, with strong links to engineering, natural sciences, and industry. The postdoc will join an active research setting with collaboration across mathematics and automatic control.

Research focus. PRONTO aims to develop mathematical models for public transport networks using stochastic PDEs, graph/network ideas, stochastic optimization and control, and data-driven methods. The project offers a novel perspective on managing uncertainty in transport and infrastructure systems. The successful candidate is expected to conduct research, develop scientific ideas, write manuscripts, and present results to collaborators and at international conferences.

Eligibility and requirements. Applicants must hold a doctoral degree in applied mathematics, mathematics, mathematical statistics, or another relevant field, or an equivalent foreign degree, by the employment decision date. Strong written and spoken English is required. The call is particularly suited to candidates with training across stochastic PDEs, graph theory or network science, stochastic optimization and control, applied mathematics, AI/data science/statistics, and geostatistics. Experience in transportation applications will strengthen the application.

Employment and conditions. The position is a temporary full-time appointment for two years starting at the beginning of January 2027. Physical presence is required throughout the employment. Up to 20% teaching may be included on a voluntary basis, including supervision of Bachelor’s and Master’s students. A valid residence permit must be presented by the start date.

Application information. Apply in English via the online form and upload PDF files: a CV (max 2 pages), a personal letter (max 2 pages), and your PhD thesis or, if applicable, the papers planned for the thesis. Applications sent by email and incomplete applications will not be considered. The deadline is 2026-09-30. Contact persons listed for questions are Prof. Annika Lang, Prof. Balazs Kulcsar, and Dr Irina Pettersson.

Funding details

Available

What's required

A doctoral degree in applied mathematics, mathematics, mathematical statistics or another relevant field, or an equivalent foreign degree is required, and this eligibility requirement must be met no later than the time the employment decision is made. Applicants should have strong written and verbal communication skills in English. The application will be strengthened by experience in transportation applications, and by competence in at least three of the following areas: stochastic partial differential equations, graph theory/network science, stochastic optimization and control, applied mathematics, AI/data science/statistics, and geostatistics.

How to apply

Prepare the application in English as PDF files and submit it through the university application form. Include a CV, a personal letter, and your PhD thesis or planned thesis papers if the PhD is ongoing. Do not send applications by email; incomplete applications will not be considered.

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