Postdoc in Behaviour Modelling in Mobility Demand Management Schemes DTU Management

We are inviting applications for a part-time 2-year postdoctoral researcher to join a dynamic and interdisciplinary team and work at the intersection of behavior modelling machine learning and policy foresight. This position focuses on the development of travel behavior models sensitive to new pricing and tradable credit schemes for future demand management of urban mobility systems.

You will be affiliated with the Intelligent Transport Systems sectionat the Department of Technology Management and Economics (DTU Management) of the Technical University of Denmark. The position is part of a larger EU project entitled FEDORA - Federation of network optimization services simulation foresights and data alchemy for adaptable agile secure and resilient multimodal traffic management funded by the EU Commissions Horizon Europe Framework.

The successful candidate will work on two integrated research agendas:

• Explore traditional and machine-learning based techniques in activity-based demand models sensitive to pricing and quantity control mechanisms.
• Support field behavioral experiments and behavioral model estimation on tradable mobility credits.

FEDORA aims to pave the way towards advanced traffic and network management through the development of a federated spaces platform offering a holistic framework of innovative solutions and services that enable precise and pro-acting sensing of supply and demand facilitate optimal operation of transport services and advances learning and evolution in complex environments. The project focuses on six thematic mobility management demonstrations in Vienna the Basque country Reggio Emilia Nicosia Budapest and Denmark covering varying EU urban and rural contexts infrastructure maturity levels multimodal mobility services availability organization/operational structures and social conditions. Within FEDORA this post-doc position is focused on the development of a flexible travel behavior in complex multimodal urban environments including Mobility as a Service Dynamic Pricing and Tradable Mobility Credits sensitive to diverse user groups including low-income low-accessibility factors. Experiments tailored for the Regio Emilia pilot will be designed and carried out together with a PhD student already working on the project. Data will then be used to estimate behavioral models and integrated into an activity-based models for scenario analysis.

The successful candidates will work under the supervision of Associate Professors Carlos Azevedo and Ravi Seshadri. The Intelligent Transport Systems Sectionbelongs to the Transportation Science division of the Department of Technology Management and Economics (DTU Management) at DTU. The division conducts research and teaching in the field of traffic and transport behavior and planning with particular focus on behavior modelling machine learning and simulation.

Responsibilities and qualifications
Your overall aim will be to strengthen the departments competences within the application of advanced methods for activity-based simulation models and machine learning methods in transportation. You will work in close collaboration with colleagues and with academic partners in Europe. Your primary tasks will involve formulating estimating and testing demand / choice models implement them in a complex agent-based simulation framework and apply and calibrate them for the Greater Copenhagen Area.

• You will support field behavioral experiments to test designs of tradable credits schemes in specific urban contexts.
• You will explore and implement machine-learning algorithms and classical dynamic models for hierarchical and sequential decision making.
• You will collaborate with domain experts across transport modeling machine-learning and policy design to ensure scientific and practical relevance.
• You will contribute to the open-source codebase and documentation for future reuse by the research and policy community.
• You will publish the new findings in the international peer reviewed literature.
• You will present your research at project consortium meetings and international conferences.
• You will communicate effectively with colleagues and be able to work as part of a team to achieve ambitious goals.
• You will be responsible for project milestones and deliverables.
• Teach and supervise graduate student projects

For this position experience with simulation development and coding is essential. We expect the candidate to have:

• PhD in transportation science machine learning behavioral economics or a related field.
• Programming skills Python along with experience working with transportation simulation frameworks.
• Strong knowledge of probabilities and statistics.
• Experience in design and deployment of behavioral experiments and/or survey travel data collection in the field.
• Demonstrated the ability to publish in the international peer-reviewed research literature
• Proven ability to work on interdisciplinary projects and communicate technical concepts to diverse audiences.
• The ability to work in a project team and to take responsibility for their own research goals and project tasks.
• Excellent communication and collaboration skills andproficiency in English.

Preferably we are also looking for someone with:

• Experience with mobility simulation tools such as MATSim SUMO or similar platforms.
• Prior work involving model calibration optimization under uncertainty or scenario analysis.
• Demonstrated interest in contributing to the field of policy making supported by simulation models

We offer
DTU is a leading technical university globally recognized for the excellence of its research education innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.

Salary and terms of employment
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union.

The position is a part-time position. The period of employment is two years and working hours will be 11 hours per week. Starting date is tentatively 1 February 2026 (or according to mutual agreement).

You can read more aboutcareer paths at DTU here.

Further information
Further information may be obtained from Associate Prof. Carlos Lima Azevedo at.

You can read more aboutDTU Management at.

If you are applying from abroad you may find useful information on working in Denmark and at DTU atDTU Moving to Denmark.

Application procedure
Your complete online application must be submitted no later than 12 December 2026 (23:59 Danish time). Applications must be submitted as one PDF file containing all materials to be given consideration. To apply please open the link Apply now fill out the online application form and attach all your materials in English in one PDF file. The file must include:

• Application (cover letter)
• CV
• Academic Diplomas (MSc/PhD in English)
• List of publications
• The contact details of two referees.

Applications received after the deadline will not be considered.

All interested candidates irrespective of age gender disability race religion or ethnic background are encouraged to apply. As DTU works with research in critical technology which is subject to special rules for security and export control open-source background checks may be conducted on qualified candidates for the position.

DTU Management
DTU Management conducts high-level research and teaching with a focus on sustainability transport innovation and management science. Our goal is to create knowledge on the societal aspects of technology - including the interaction between technology and sustainability business growth infrastructure and prosperity. Therefore we explore and create value in the areas of management science innovation and design thinking business analytics systems and risk analyses human behaviour regulation and policy analysis. The department offers teaching from introductory to advanced courses/projects at BSc MSc and PhD level. The department has 200 employees with around half of staff coming from abroad. Read morehere.

Technology for people
DTU develops technology for people. With our international elite research and study programmes we are helping to create a better world and to solve the global challenges formulated in the UNs 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear mission to develop and create value using science and engineering to benefit society. That mission lives on today. DTU has 13500 students and 6000 employees. We work in an international atmosphere and have an inclusive evolving and informal working environment. DTU has campuses in all parts of Denmark and in Greenland and we collaborate with the best universities around the world.