Student research assistant - The Digital Twin of Swiss Mobility
Immigration Policy Lab
Student research assistant - The 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 and/or visualisation with JavaScript (ideally with Vite).
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. Your task would be to help us ensure our models are validated and that the results can be explored by practitioners in a meaningful way. You will collaborate with senior researchers at the center to validate the different steps of creating the Digital Twin.
Job description
- Validate steps of the Digital Twin pipeline with senior researchers.
- Process and analyse mobility datasets (Python) and/or build interactive web views (JavaScript + modern tooling such as Vite).
- Document methods and contribute to open-science practices (reproducible code, clear README, 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 fulfil other study obligations.
Profile
- Current master's student
- Languages: English
- Very good knowledge of data processing with Python or applying JavaScript (ideally with Vite)
- Passion for open-science
- Curious, motivated, and autonomous
Workplace
Workplace
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.
We value diversity and sustainability
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: balacm@ethz.ch).