Open working student (HiWi) positions [TSE 138 and 139] in EU funded MI-TRAP project

Zurück zu Nachrichten-Bereich

Open working student (HiWi) positions [TSE 138 and 139] in EU funded MI-TRAP project

23.10.2026, Studentische Hilfskräfte, Praktikantenstellen, Studienarbeiten

Project context

The EU-funded MI-TRAP aims to use a bottom-up dose-response framework to quantify the impact of pollution from transport on environmental and epidemiological outcomes. The project consortium consists of a large group of academic and industry partners. Results will be generated across all transport modes for a number of case study cities in Europe including Athens, Copenhagen, Milan, and Zurich, among others.

Tasks

The student assistants will support the project in:

• Collecting transport network data from OpenStreetMap and traffic sensors data from open-source databases
• Developing automated workflows to clean and process the transport network data across multiple European regions
• Integrating the network data with the sensor data
• Supporting graph-based modelling and machine learning experiments

Requirements

• Master’s student in Transportation Systems, Data Science, Informatics, Computer Science, or a related field
• Strong analytical and problem-solving skills
• Good programming skills in Python
• Experience in extracting and processing network data from OpenStreetMap or similar sources
• Experience with machine learning is desirable; knowledge of graph neural networks is a plus
• Ability to work independently and meet deadlines

What we offer

• Work on a cutting-edge interdisciplinary research project with real societal impact
• Exposure to advanced methods in network analysis and AI
• Opportunity to contribute to scientific publications, depending on performance

Conditions of employment

• Contract duration up to 5 months, with the possibility of extension
• Working time of up to 16 hours/week

Application

We have two positions, TSE 138 and 139 (only for TUM candidates) . The former position focuses more on data collection and processing, while the latter position focuses more on AI modelling. The hired students would be expected to support some administrative tasks of the project.

If interested, please send the following documents to :

• CV
• Academic transcripts, including the latest one from TUM
• Any relevant project work (e.g., GitHub repository, code samples or coursework projects)

Please include the position IDs [TSE_138 or 139] in the email subject.

Deadline: 29/1