Student research assistant for Digital Twin of Swiss Mobility

10%-30%, Zurich, fixed-term

We are looking for a student research assistant to help us develop our Digital Twin of Swiss Mobility, who has very good skills in data processing with Python.

Project background

At the Center for Sustainable Future Mobility at ETH Zurich, we are developing a human-centered Digital Twin of Swiss Mobility to help us evaluate possible paths toward more sustainable and livable futures.

Job description

Your task would be to help us ensure our models are validated and robust. You will collaborate with senior researchers at the center to validate the different steps of creating the Digital Twin using Python (i.e., pandas, NumPy, geopandas, MatplotLib, etc.).

We 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. The salary will be CHF 30.70/h.

Profile

Current master's student
Languages: English
Very good knowledge of data processing with Python
Passion for open-science
Curious, motivated, and autonomous

Workplace

We offer

We offer:

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.

Working, teaching and research at ETH Zurich

We value diversity

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.

Curious? So are we.

We look forward to receiving your online application with 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 email or postal services will not be considered.

Further information about CSFM can be found on our website . Questions regarding the position should be directed to Dr. Milos Balac (email: milos.balac@csfm.ethz.ch).

About ETH Zürich

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.

Curious? So are we.

We look forward to receiving your online application with 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 email or postal services will not be considered.

Further information about CSFM can be found on our website . Questions regarding the position should be directed to Dr. Milos Balac (email: milos.balac@csfm.ethz.ch).

Apply online now