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Delft University of Technology, Faculty of Civil Engineering and Geosciences, invites applications for a fully funded PhD position in the TRANSFORM ERC project.
Application Deadline: March 31, 2026
Employment Type: Full-time, 4 years (initial 1.5-year contract, followed by 2.5-year continuation based on performance)
Salary: €3,059–€3,881 gross/month (full-time), plus 8% holiday allowance and 8.3% end-of-year bonus
Supervisor: Dr. Shadi Sharif Azadeh ([email protected])
Location: Delft, Netherlands
Project Overview
The TRANSFORM ERC project aims to develop resilient, adaptive multimodal urban transport systems that anticipate disruptions and optimize mobility in real time. Key goals include:
- Designing real-time coordinated demand management frameworks
- Integrating behavioral choice models with network state information
- Optimizing mobility under uncertainty
- Delivering individualized multimodal services that improve efficiency while respecting user preferences
The project focuses on unifying short-term operations and long-term planning, addressing the challenges caused by siloed approaches in traditional urban transport systems.
Research Role
As a PhD candidate, you will:
- Develop the scientific core of real-time multimodal demand management
- Create a scalable modeling and optimization framework capturing dynamic supply-demand feedback
- Integrate behaviorally informed models for user decision-making
- Conduct research advancing both theory and practical applications in transport systems
- Collaborate with the SUM Lab, working alongside domain experts, fellow PhDs, and researchers in optimization, AI, and behavioral modeling
Qualifications & Requirements
Mandatory:
- Master’s degree in Applied Mathematics, Machine Learning, Computer Science, or related fields
- Strong knowledge of machine learning, optimization, and discrete choice/behavioral models
- Programming proficiency (Python, C++, Java)
- Excellent communication skills in English
- Ability to work independently and in a team
Desirable:
- Interest in interdisciplinary research
- Contribution to teaching and lab activities
Work Environment
- SUM Lab, Department of Transport & Planning, TU Delft
- Interdisciplinary, diverse team working on smart, sustainable, and equitable mobility systems
- Access to advanced tools: sensing, data analytics, modeling, and AI
- Embedded in a prestigious ERC Consolidator Grant with high scientific visibility and international collaboration opportunities
Relocation Support: TU Delft offers guidance via the Coming to Delft Service, including relocation assistance, social events, and dual-career support.
Application Instructions
Submit applications online via TU Delft’s application portal before March 31, 2026. Required documents:
- Curriculum Vitae (CV)
- Cover letter addressing motivation and research interests, directed to Dr. Shadi Sharif Azadeh
English proficiency: Candidates must meet TU Delft Graduate School’s language requirements to participate in courses and write scientific publications.
Contact for Queries:
- Dr. Shadi Sharif Azadeh, [email protected]
This PhD position offers an excellent opportunity to contribute to next-generation urban transport systems, integrating advanced AI, optimization, and behavioral modeling, within a top-tier European technical university.
Apply now at: https://careers.tudelft.nl/job/Delft-PhD-Positioin-in-Multimodal-Demand-Management-and-Optimization-under-Uncertainty-2628-CD/1353728557/
