The Chair of Infrastructure Management led by Professor Dr. Bryan T. Adey in the Institute of Construction and Infrastructure Management of the Department of Civil, Environmental and Geomatic Engineering has an opening for a student research assistant in our Sustainable Urban Transition Lab.

At the Sustainable Urban Transition Lab at ETH Zurich, we are working with cities to tackle critical urban transport challenges such as tourism seasonality, hybrid work, accessibility, and promoting sustainable travel habits using innovative, data-driven solutions.

Your task would include one or both of the following:

• help us in setting up the data pipeline for a synthetic population and travel demand model using Python (i.e., pandas, NumPy, geopandas, MatplotLib, etc.).
• help us to calibrate the travel demand model of different cities (here, knowledge of Java or any OOB is a plus)

You will collaborate with senior researchers at the lab throughout this process who will provide you with guidance for the implementation, but independent work, in general, is required and appreciated.

The workload consists of up to 15 hours per week during the semester.
We handle working time flexibly so that you can take time to prepare for exams or fulfill other study obligations.

• Current master's student
• Languages: English (Knowledge of Spanish is a plus)
• Very good knowledge of data science and data processing with Python
• Passion for open-science
• Curious, motivated, and autonomous
• Optional: Knowledge of agent-based models (e.g MATSim)

ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.

In line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish.

We look forward to receiving your online application, including the following documents:

• A short motivation letter highlighting your motivation and your experience with data processing with Python
• CV
• Transcript of records

Please note that we exclusively accept applications submitted through our online application portal. Applications via e-mail or postal services will not be considered.

Start date: As soon as possible

The anticipated workload per week will be 15 Hours, ETH Zurich hourly wage (30.70 CHF per hour).

To collaborate in an international team operating in a flexible working environment.

For further information about the position, please contact Ms. Nathalie Dietrich by e-mail: and visit our website.

ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.