Internship - Data Science / Software Engineer

Join Our Interdisciplinary Team

The Global Health Engineering group, part of the D-MAVT (Mechanical Engineering) department at ETH, is dedicated to addressing challenges in resource-constrained countries. Our diverse team encompasses mechanical engineers, environmental engineers, economists, and social scientists, and we are committed to fostering a culture of collaboration, transparency, and knowledge sharing.

Project Involvement

As a key member of our Open Science team, your contributions will enhance our initiatives through:

• Updating raw data extraction for scientific publications.
• Extracting data from PDF documents to compile metadata for projects funded under the ETH Board Open Research Data program.
• Assisting in creating data packages generated by the openwashdata community.
• Supporting R data publication packages like washr and fairenough.

Candidate Profile

The ideal candidate possesses:

• A passion for creating concise and reusable data and code.
• Proficiency in standard data science tools such as Git, GitHub, R, Python, RStudio IDE, and VS Code.
• Competence in utilizing R Tidyverse packages and problem-solving based on the principles outlined in "R for Data Science."
• Knowledge of the latest technical developments in Large Language Models (LLMs) and their academic applications.

Requirements

• A Bachelor’s degree.
• A valid work permit for Switzerland, with details to be provided during discussions.

Work Environment

Our workplace fosters inclusivity and respect, promoting a diverse atmosphere where every idea is valued. In addition to a central location in Zurich, flexible remote work options are available.

Our Commitment to Diversity and Sustainability

ETH Zurich is dedicated to cultivating an inclusive culture, equality of opportunity, and respect for the rights and dignity of all staff and students. We emphasize sustainability as a core principle, actively striving for a climate-neutral future.

Your Experience Matters

We look forward to exploring your online portfolio showcasing previous data projects, an updated CV, and a brief cover letter detailing your organizational practices.

Important Dates

• Submission deadline: April 30, 2026
• Notification of first selection round: May 8, 2026
• Interviews: May 12, 2026
• Final selection notification: May 14, 2026
• Preferred start date: July 1, 2026

Interview Structure

Interviews will be conducted remotely, comprising a personal session and a technical evaluation focusing on proficiency in R programming and Tidyverse packages. Our team will be available to answer any questions you may have.

About ETH Zurich

ETH Zurich stands as a premier institution specializing in science and technology, recognized for its exceptional education, pioneering research, and commitment to societal advancement. With a vibrant community of over 30,000 people from across the globe, we strive to tackle today’s global challenges and inspire a better tomorrow.