PhD Position in Transportation Analytics

PhD Position in Transportation Analytics

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Technical University of Munich

PhD Position in Transportation Analytics

15.08., Wissenschaftliches Personal

For the Unit for Data Science in Management at the TUM School of Management, Heilbronn Data Science Center, we seek a part-time researcher (75%) for an initial three-year period, starting as soon as possible.

About us

The TUM Campus Heilbronn is part of the renowned Technical University of Munich, known for excellence in research and teaching, interdisciplinary collaboration, and global partnerships. The Heilbronn Data Science Center combines fundamental research in optimization, machine learning, and AI with practical applications to address real-world problems.

Your profile

  • Master’s in Statistics, Industrial Engineering, Operations Research, Civil Engineering, Computer Science, Data Science, or related fields from a reputable university.
  • Strong mathematical, analytical, and programming skills (Python).
  • Research potential with publications in relevant venues (e.g., IEEE T-ITS, INFORMS Transportation Science, SIGKDD).
  • Interest in pursuing a doctoral degree.
  • Motivation for interdisciplinary research.

Research focus

The candidate will conduct data-driven modeling of transportation systems, utilizing techniques such as high-dimensional data mining, tensor decomposition, causal inference, statistical process modeling, and machine learning. Applications include public transport, private vehicles, traffic infrastructure, and emerging mobility solutions like electric vehicles and e-scooters.

What we offer

  • Autonomous work within interdisciplinary projects.
  • Diverse and inclusive environment.
  • Vibrant scientific community.
  • Flexible work options, including partial remote work.
  • Professional development opportunities.

Our group

Led by Prof. Dr. Ziyue Li, our research focuses on spatiotemporal data mining with applications in smart transportation and cities. Our work addresses perception, decision, and explanation in complex transport systems, employing statistical data mining, deep learning, and domain expertise to develop adaptable, interpretable models.

Application process

Submit your application (motivation letter, transcripts, CV, language certificates, other relevant documents) as a single PDF by September 30 via email to Ms. Elke Kröber, with the subject “PhD Transportation Analytics”. Alternatively, send a postal application to:

TUM School of Management

UDSM

Elke Kröber

Bildungscampus 2, Heilbronn

Please note that applications sent by post will not be returned.

Additional information

The position is suitable for disabled persons, who will be given preference if equally qualified. TUM encourages applications from women and offers remuneration according to the TV-L pay scale, up to pay group 13, commensurate with qualifications.

Data protection

By applying, you acknowledge TUM’s data protection policies in accordance with GDPR. Please review our data protection information before submitting your application.

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Technical University of Munich

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Technical University of Munich Recruiting-Team