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Jeppe Rich

5 months ago

Postdoc in Optimization, Stochastic Programming, and Decarbonization at DTU Management Technical University of Denmark in Denmark

Degree Level

Postdoc

Field of study

Computer Science

Funding

2-year postdoc appointment as part of the TEDDY project funded by the Hedorfs Foundation. The post is a paid research position; no stipend amount, tuition, or fee details are provided.

Deadline

Expired

Country flag

Country

Denmark

University

Technical University of Denmark

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Keywords

Computer Science
Environmental Science
Mathematics
Industrial Engineering
Stochastic Programming
Optimisation
Statistical Modelling

About this position

DTU Management is advertising a 2-year Postdoc in optimization with a strong focus on robustness, uncertainty, stochastic modelling, stochastic programming, mixed-integer programming (MIP), and decomposition methods. The project is part of the TEDDY project, funded by the Hedorfs Foundation, and addresses an important decarbonization challenge: planning the transition from diesel to battery-electric freight transport.

The research will contribute to the next generation of fleet-planning models for real-world transport systems where deterministic approaches are no longer sufficient. This is a good fit for candidates with a strong quantitative background and an interest in applying advanced optimization methods to sustainability and logistics problems.

Institution: Technical University of Denmark (DTU), Kgs. Lyngby, Denmark.

Eligibility highlights: strong background in stochastic programming, MIP, or decomposition methods; interest in decarbonization and freight transport planning.

Appointment: 2 years. Start: September 2026.

No direct deadline or application portal is stated in the post; applicants should use the LinkedIn announcement for further instructions.

Funding details

2-year postdoc appointment as part of the TEDDY project funded by the Hedorfs Foundation. The post is a paid research position; no stipend amount, tuition, or fee details are provided.

What's required

Applicants should have a strong background in stochastic programming, mixed-integer programming (MIP), or decomposition methods, and a genuine interest in applying these tools to real-world decarbonization challenges. The post emphasizes robustness, uncertainty, and stochastic modelling for freight transport planning.

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Professors

Professor

University Name
Country flag

Denmark

Research Interests

Transportation Engineering

Automotive Engineering

Multimodal Transportation

Internet Of Vehicles

Sustainable Transportation