, Academic staff
Join the TUM Professorship of Mobility Policy starting October 1, 2025, as a doctoral researcher in the DFG‑funded Collaborative Research Center "AgiMo" TRR 408.
The Technical University of Munich (TUM), as a University of Excellence, is one of the leading and most dynamic research institutions in the country. TUM has established the Collaborative Research Center (CRC) "Data‑driven agile planning for responsible mobility" (AgiMo), funded by the German Research Foundation (DFG). This interdisciplinary centre, involving four universities (TUM, TU Dresden, TU Berlin, TU Braunschweig) and the German Aerospace Centre (DLR), will conduct research on 20 research topics with 25 PhD candidates over the next years. The main research goals are: (1) develop a new set of consistent scientific methods for mobility planning and management, (2) integrate a new set of modular metrics for responsible mobility, (3) embed the planning methods into the open data AgiMo Digital Twin, (4) develop participatory planning methods based on the technical outcomes from the digital twin to create future scenarios for responsible mobility that are technically well‑grounded and at the same time represent stakeholder preferences. The Integrated Research Training Group (RTG) will provide doctoral researchers with an attractive qualification programme, foster networking, enable internationalisation and mobility, and create a collaborative environment. TUM and the CRC embody a university culture characterised by cosmopolitanism, mutual appreciation, thriving innovation, and active participation. Diversity is an essential feature and quality criterion of an excellent university. Accordingly, we welcome all applicants who would like to commit themselves, their achievements, and productivity to the success of the whole institution.
Job ID: PMP_TRR408_C5
Starting October 1, 2025 (position limited until June 30, 2029). The period of employment is governed by the Fixed Term Research Contracts Act (Wissenschaftszeitvertragsgesetz – WissZeitVG). The position aims at obtaining further academic qualifications (usually a PhD). Subject to availability of resources, employees will be remunerated according to salary group E 13 TV‑L. Investigators: Prof. Dr. Allister Loder, TUM Professorship of Mobility Policy, and co‑supervised by at least one leading international researcher.
Project C5 concerns the multimodal macroscopic fundamental diagram (MFD) that represents network‑wide traffic states in an urban road network, accounting for cars, buses, trams, bicycles, and trucks as a function of transport supply and travel demand. The objective is first to develop assessment indicators based on the MFD to characterise network‑wide interventions such as reallocating road space or travel‑demand management schemes. Second, to develop an MFD‑based traffic simulation linked to the agent‑based simulation environment MATSim. The developed methods will be applied to case studies from the CRC and will empirically assess network changes in Greater London due to the expansion of cycle highways.
Independent and cooperative qualification through scientific research within the project; training in the technical tasks of the individual dissertation topic through study of the literature and in making the objectives more precise; working on the individual PhD study project with its focus on the methodological contributions as well as on empirical data processing for the case‑study analysis in collaboration with other CRC members (fellow doctoral researchers and supervising professors); implementation of the planned research programme, evaluation and interpretation of the results, elaboration and presentation of the research; participation in lectures, workshops and summer schools according to the guidelines of the RTG curriculum; supporting scientific graduation work (Bachelor/Master) in the subject‑specific research field; regular reporting on research progress to the supervising professors; publishing the results of the research work individually and in concert with others; cooperative maintenance of internal exchange platforms (database, information pages, etc.); summarising the results of the individual doctoral study project in a dissertation within the due time of 3 years and 9 months. The successful candidate will also work closely together with other doctoral researchers at the Professorship of Mobility Policy, in particular the Emmy‑Noether‑Research Group "READAPT", with the other universities and chairs being part of the CRC, and will have the opportunity for international research exchanges.
We are looking for first‑class graduates with expertise in the CRC‑addressed PhD subjects, high interdisciplinary desire to learn, and willingness to cooperate, openness for internationalisation and diversity, very good verbal and written English communication skills (good command of German or interest in learning it is a bonus) as well as the absolute determination to submit the dissertation after 3 years and 9 months of research. In the case of this project, more specific desired requirements are:
TUM strives to raise the proportion of women in its workforce and explicitly encourages applications from qualified women. The position is suitable for disabled persons; disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance.
If you are interested in working in our team, please send your application together with a strong CV and supporting documents, e.g., transcripts of records, to Prof. Dr. Allister Loder ( ). Application deadline: July 13 th 2025.
As part of your application, you provide personal data to the Technical University of Munich (TUM). Please view our privacy policy on collecting and processing personal data in the course of the application process pursuant to Art. 13 of the General Data Protection Regulation of the European Union (GDPR) at By submitting your application, you confirm that you have read and understood the data protection information provided by TUM.
Contact:
#J-18808-LjbffrVeröffentlichungsdatum:
11 Apr 2026Standort:
MünchenTyp:
VollzeitArbeitsmodell:
Vor OrtKategorie:
Erfahrung:
2+ yearsArbeitsverhältnis:
Angestellt
Möchtest über ähnliche Jobs informiert werden? Dann beauftrage jetzt den Fuchsjobs KI Suchagenten!