The Global Health Engineering group is based within the D-MAVT (Mechanical Engineering) department at ETH. Our group comprises mechanical engineers, environmental engineers, economists and social scientists. Our work is interdisciplinary, and all research focuses on resource‑constrained countries.
Our culture We are a small and committed team of 15 people with a collegial culture. We value transparency and openness over scientific publications. We like to share our knowledge with others and allow for creativity and new technologies in our work processes. We reflect on our work and constantly improve it. We believe that the world can be improved with open data.
Project background As part of our Open Science team, you will support us in developing efficient data cleaning & extraction processes, comprehensible visualisations, and curated data publications.
Job description Your efforts will support ongoing projects, including:
Update of raw data extraction for a scientific publication.
Data extraction from PDF documents to compile metadata of projects funded under ETH Board Open Research Data (ORD) program.
Contribute to data packages generated by openwashdata community.
Contribute to R data publication packages washr and fairenough.
Profile
You care about data and code being concise and easily reusable.
You know how to use standard data science tools (Git, GitHub, R, Python, RStudio IDE, VS Code).
You know your way around the collection of R Tidyverse packages, and you are a competent practitioner in solving problems as outlined in the book R for Data Science.
You stay up-to-date on the latest technical developments for Large Language Models (LLMs) and their use in academia.
Requirements
You hold a BSc degree.
You have a valid work permit for Switzerland. Please indicate which work permit you have (e.G. Swiss passport, work permit …).
We offer
Everyone is welcome here, just as they are. Our collegial and respectful interaction creates a pleasant working atmosphere and room for new ideas.
In addition to a central work location in Zurich with plenty of room, you can work occasionally from home.
The employment conditions are based on the university guidelines.
They include, for example, five weeks’ vacation, a wide range of training and continuing education opportunities, and a salary of 3000 CHF per month.
We value diversity and sustainability 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. Sustainability is a core value for us – we are consistently working towards a climate‑neutral future.
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Internship - Data Science / Software Engineer - Fr.3'000 A Month in Zürich Arbeitgeber: ETH Zurich
Das Max Planck ETH Center for Learning Systems (CLS) bietet eine herausragende Arbeitsumgebung für Doktoranden, die an der Schnittstelle von Wissenschaft und Technologie forschen möchten. Mit einer einzigartigen Kombination aus exzellenter Betreuung durch ETH Zürich und den Max-Planck-Instituten sowie der Möglichkeit eines 12-monatigen Austauschs zwischen verschiedenen Standorten, fördert das CLS nicht nur die akademische Exzellenz, sondern auch die persönliche und berufliche Entwicklung seiner Fellows. Die vollständig finanzierten Stipendien und die internationale Ausrichtung des Programms schaffen ein inspirierendes Umfeld für innovative Forschung und Zusammenarbeit.
