PhD Opportunity in Data-Driven Planning for Responsible Mobility (AgiMo Project) - #2221612

University: Technical University of Munich

Country: Germany

Deadline: Rolling until filled

Fields: Transportation Science, Computer Science, Economics, Management & Technology, Urban Planning

The Technical University of Munich (TUM) invites applications for a PhD position within the Collaborative Research Center (CRC) “AgiMo – Data-driven agile planning for responsible mobility.” This DFG-funded project involves a consortium including TUM, TU Dresden, TU Berlin, TU Braunschweig, and DLR, and aims to advance innovative methods in mobility planning, develop metrics for responsible mobility, implement digital twin technologies, and foster participatory approaches toward sustainable transport solutions.

PhD Topic – Subproject A2

The successful candidate will:

• Develop novel Stated Preference (SP) survey methodologies to assess the impact of extreme transportation policies such as high carbon pricing and road closures.
• Identify behavioral tipping points and elasticities in transportation mode choice and activity participation.
• Evaluate how communication strategies, environmental awareness, and behavioral nudges can encourage sustainable travel behaviors.
• Conduct empirical validation of SP findings to inform responsible mobility planning.
  
  

Requirements

• An excellent Master’s degree in transportation, computer science, economics, management & technology, or a related discipline.
• Strong background in transportation science and/or data analytics.
• Demonstrated interdisciplinary interest, collaborative spirit, and commitment to completing the PhD within 3 years and 9 months.
• Excellent written and spoken English communication skills.
• Fulfillment of TUM’s doctoral admission requirements (see: https://www.gs.tum.de/en/gs/path-to-a-doctorate/application/requirements/).
  
  

What We Offer

• A leading research environment at Germany’s top technical university.
• Interdisciplinary collaboration across transport, data science, economics, and urban planning.
• Comprehensive qualification and training programs in research, project management, and leadership.
• Funded 3-month international research stay and extensive networking opportunities.
• Support for fellowship applications and career development.
• The opportunity to live in Munich, a vibrant and diverse city with high quality of life.
  
  

Application Process

Applicants should email their application materials as a single PDF to [email protected], with Job ID: TSE-131 in the subject line. Required documents include:

• Cover letter outlining research interests
• Curriculum Vitae
• Academic transcripts
• Letter of recommendation
• List of publications (if available)
  
  

For further inquiries, please contact Dr. Mohamed Abouelela ([email protected]) or Prof. Dr. Hanna Hottenrott ([email protected]).

About TUM

The Technical University of Munich is recognized as a University of Excellence and a global leader in engineering and innovation, offering a collaborative and internationally connected research environment.

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