Student Assistant (m/f/d) for 15 hours per week for support in the research conducted in the AgiMo-Project C5

12.05.2026, Studentische Hilfskräfte, Praktikantenstellen, Studienarbeiten

TUM has established the Collaborative Research Center (CRC) “Data-driven agile planning for responsible mobility” (AgiMo), which is funded by the German Research Foundation (DFG). In this interdisciplinary center, four universities (in addition to TUM, TU Dresden, TU Berlin and TU Braunschweig) and the German Aerospace Center (DLR) will research 20 topics with 25 doctoral students over the next few years. In this context, Project C5 looks to develop a novel framework for mobility policy assessment based on the Multimodal Macroscopic Fundamental Diagram (MFD). The MFD originates in the field of traffic engineering; however, the MFD is not yet commonly used in transportation planning or transportation policy despite first studies highlighting its advantages: it is a simplification of the complexity of the network traffic state, easing interpretation and computation. For these activities, we are looking for, from June 2026 (at least until September 2026), a Student Assistant (Wissenschaftliche Hilfskraft, HiWi) with interest in (public) transportation, data analysis, programming and public policies. The applicant should be part of a Masters’ program like Transportation Systems, Politics and Technology, Environmental Engineering, or a comparable subject related to transportation or data analysis. The position is initially limited to the end of the semester, and an extension is being sought. The working week is 15 hours a week. Adjustment of the working week is possible by agreement. Tasks required - Research and literature review on public transport indicators and policy implementation, quality of service. - Research and literature review on management of simulation scenarios and disruption of transportation networks. - Loop-detector data analysis in Python, R or similar. - Analysis of GIS data in QGIS or similar. - Support in events and seminars from the project. Requirements - Master Student established in Munich, - Interest in topics such as traffic and transportation, governance and public policies, data analysis, - Basic knowledge in the mentioned areas, - Proactivity, self-organization and good communicational skills, - Programming skills in (at least one of) R or Python, - Redaction skills, - Knowledge in Office, - Very good level of English (writing and speaking), - (Desirable) Knowledge in Java and MATSim, - (Desirable) Availability to work at our office.

Kontakt: yerko.calquin@tum.de