Research Interns in Educational Technology
The Programming, Education, and Computer-Human Interaction group in the Department of Computer Science is recruiting one research intern to work broadly in the area of human-computer interaction and educational technology. The group is led by Prof April Wang and generally focuses on the design of future programming tools for learners and practitioners. We are particularly interested in building cognitive aware interventions that augment learners to engage in meaningful problem-solving rather than taking shortcuts.
Project background
This position is part of a SNSF-funded project on AI-assisted programming interfaces. The research explores new ways to support computational thinking and mathematical reasoning through alternative representations of code, such as prose, visuals, diagrams, and storyboards. These representations are not only used to explain or illustrate programs, but also serve as executable media that allow learners to express, test, and reason about computational ideas in more accessible and creative ways. The project also investigates how these approaches can benefit a diverse range of learners with different backgrounds and levels of expertise.
Job description
- The research intern will take ownership of a small, well-defined subproject within an ongoing work package from the above mentioned project background, under the guidance of the PI and senior lab members.
- The position is expected to begin between April and October 2026, with a duration of 3 to 6 months, and potential flexibility for extension or adjustment.
Profile
- Open to both Bachelor’s and Master’s students of national and international institutions
- Strong motivation to explore topics in human–computer interaction, learning technologies, and AI-assisted tools
- Experience or strong interest in one or more of the following areas:
- User interface or interaction design
- Web-based prototyping
- Qualitative or quantitative research methods
- Excellent organizational and communication skills are required, as well as excellent speaking and writing in English
- Ability to work both independently and in team with other colleagues
- This position may require the candidate to conduct empirical studies with CS learners, so fluency in German or knowledge of the Swiss school systems will be a bonus
We offer
- Your job with impact: Become part of ETH Zurich, which not only supports your professional development, but also actively contributes to positive change in society
- You can expect numerous benefits, such as public transport season tickets and car sharing, a wide range of sports offered by the ASVZ, childcare and attractive pension benefits
Working, teaching and research at ETH Zurich 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.
Curious? So are we.
We look forward to receiving your online application with the following documents:
- Curriculum Vitae: including academic background, publications (if any), technical skills, and relevant experience.
- Motivation letter: describing your interest in this position, your relevant background, and how you envision contributing to the project.
- Transcript(s): from relevant undergraduate and/or master’s degree programs.
- Contact information for two academic referees – who can speak to your research potential and academic preparation.
The review of applications will begin on January 15, 2026, and continue until the position is filled. Please submit your application through our online application portal. Applications sent via email or postal mail will not be considered.
Further information about D-INFK, ETH, PEACH Lab can be found on our website or contact us by email (Prof April Wang).
We would like to point out that the pre-selection is carried out by the responsible recruiters and not by artificial intelligence.
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.