The project addresses critical challenges in transport planning under deep uncertainties at national and international levels, including the EU Green Deal, resilience missions, geopolitical shifts, technological disruptions, and evolving sustainability targets. Traditional models like 4-step demand models, simulations, and agent-based models struggle to adapt to rapidly changing conditions. The project leverages LLMs to dynamically adapt inputs, projections, and prediction mechanisms, enhancing the resilience and robustness of transport planning. The PhD student will work collaboratively at KTH, Sweden and DTU, Demark, developing LLM-driven models for decision-making under deep uncertainties.
Supervision: Assoc. Prof. Zhenliang is proposed to supervise the doctoral student. Decisions are made on admission
To apply for the position
Apply for the position and admission through KTH’s recruitment system. It is the applicant’s responsibility to ensure that the application is complete in accordance with the instructions in the advertisement.
Applications must be received at the last closing date at midnight, CET/CEST (Central European Time/Central European Summer Time).
Applications must include the following elements:
- CV including your relevant professional experience and knowledge.
- Application letter with a brief description of why you want to pursue research studies, about what your academic interests are and how they relate to your previous studies and future goals. (Maximum 2 pages long)
- Copies of diplomas and grades from previous university studies and certificates of fulfilled language requirements (see above). Translations into English or Swedish if the original document is not issued in one of these languages.Copies of originals must be certified.
- Representative publications or technical reports. For longer documents, please provide a summary (abstract) and a web link to the full text.
Other information
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