Student research assistant for Digital Twin of Swiss Mobility
Date de publication :
17 octobre 2024Taux d'activité :
100%- Lieu de travail :Schweiz - Zürich & Schaffhausen
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
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.
We value diversity
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: E-Mail schreiben).
About ETH Zürich
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: E-Mail schreiben).