German Association of Women Engineers - dib, deutscher ingenieurinnenbund

Research Assistant – PhD – 0.5 working time – salary grade E13 TV-L Berliner Hochschulen

Stellenbeschreibung:

  • Teilzeit
  • Berlin
  • Veröffentlicht am 18. November 2025

Technische Universität Berlin
Faculty V – Mechanical Engineering and Transport Systems, Institute of of Land and Sea Transport / Chair of

Transport Systems Planning and Transport Telematics

Reference number: V-500/25 (starting at 01/04/26 / limited until 30/06/2029 / closing date for applications 28/11/25)

About Us
This CRC, involving four universities and the German Aerospace Center (DLR), will conduct research in the coming

years with 25 doctoral researchers working on 20 research topics. The CRC pursues the following overarching research

objectives: (1) the development of a new, consistent methodological framework for mobility planning and management,

  • the integration of a modular indicator system for responsible mobility, (3) the embedding of planning methods into the

open AgiMo Digital Twin, and (4) the development of participatory planning processes based on the technical results of

the digital twin, in order to design forward-looking scenarios for responsible mobility that are both technically sound and

aligned with the interests of relevant stakeholders.

Your Responsibility
Participation in research activities

Work on subprojects C3 and C4 within the above-mentioned CRC. Subproject C3 focuses on the development of a

digital twin for the purpose of traffic planning. Subproject C4 concerns the application of this digital twin to calculate

various future scenarios for the transport system, particularly with regard to decarbonization

Further development of the traffic simulation software MATSim

Collaboration with national and international partners

Your Profile
Successfully completed scientific university degree (Master, Diplom or equivalent) in Computer Science or an

equivalent field

Completed PhD in a STEM discipline

Extensive experience with the simulation software MATSim, particularly with the MATSim framework and the

implementation of new functions in MATSim

Substantial experience in large-scale programming projects, especially in the design and development of frameworks

with a focus on software architecture

Excellent programming skills in Java

Experience with version control systems (e.g., Git) and continuous integration

Experience in processing georeferenced data (GIS) such as GPS data and mobile network data

Experience in transportation demand modelling

Clearly structured and process-oriented working style desirable

Knowledge in the field of transport planning

Good command of German and/or English required; willingness to learn either English or German is expected

Strong analytical skills and ability to work in a team

Multidisciplinary orientation

How To Apply
Please send your application with the reference number and the usual documents only via email (bundled in one PDF

document, max. 5 MB) to Prof. Dr. Nagel via

By submitting your application via email you consent to having your data electronically processed and saved. Please

note that we do not provide a guaranty for the protection of your personal data when submitted as unprotected file.

Please find our data protection notice acc. DSGVO (General Data Protection Regulation) at the TU staff department

homepage:

To ensure equal opportunities between women and men, applications by women with the required qualifications are

explicitly desired. Qualified individuals with disabilities will be favored. The TU Berlin values the diversity of its members

and is committed to the goals of equal opportunities. Applications from people of all nationalities and with a migration

background are very welcome.

The Vacancy Is Also Available On The Internet At

Um sich für diesen Job zu bewerben,
sende deine Unterlagen per E-Mail an

NOTE / HINWEIS:
EnglishEN: Please refer to Fuchsjobs for the source of your application
DeutschDE: Bitte erwähne Fuchsjobs, als Quelle Deiner Bewerbung

Stelleninformationen

  • Veröffentlichungsdatum:

    30 Nov 2025
  • Standort:

    Berlin
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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