Publisher
source

Martina Rau

2 weeks ago

PhD Position on Educational Approaches to Misinformation ETH Zürich in Switzerland

Degree Level

PhD

Field of study

Education

Funding

Available

Deadline

Mar 31, 2026

Country flag

Country

Switzerland

University

ETH Zürich

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Where to contact

Official Email

Keywords

Education
Psychology
Cognitive Science
Statistical Analysis
Quantitative Analysis
Neuropsychology
Data Visualization
Educational Psychology
Resiliency
Qualitative Method
Statistics
Misinformation

About this position

The Professorship for Research on Learning and Instruction at ETH Zürich is offering a PhD position focused on educational approaches to misinformation. This opportunity is ideal for candidates interested in advancing evidence-based educational practices that address issues of societal relevance, particularly the pervasive challenge of misinformation in today's information environment.

The research group has a strong track record in investigating the effects of training interventions that help individuals recognize misleading data visualizations and reduce their negative impact on information extraction. Recent projects have explored how pedagogical interventions can protect people from misinformation, and the group now aims to expand these efforts by examining the interaction between strengthening content knowledge and developing misinformation detection skills. The overarching goal is to enhance resilience to misinformation while maintaining the ability to assimilate trustworthy information.

The PhD student will conduct controlled experiments combining quantitative and qualitative methods to investigate the impact of pedagogical interventions on misinformation resilience. Guidance will be provided throughout the research process, including support for publishing findings in academic journals and presenting at conferences. The start date for the position is flexible, allowing candidates to coordinate their transition.

Applicants should hold a master's degree in psychology (with an emphasis in Cognitive or Educational Psychology preferred), Learning Sciences, Cognitive Science, or a related field. A strong understanding of experimental design and quantitative statistical analysis is essential, and prior research experience is advantageous. Candidates must be highly motivated, committed, and curious, with a demonstrated ability to work independently and collaboratively within an interdisciplinary team. Excellent proficiency in spoken and written English is required, and fluency in German is preferred.

ETH Zürich offers excellent research infrastructure, supportive work conditions, and opportunities for developing your own research agenda and network. The university values diversity, sustainability, and an inclusive culture, promoting equality of opportunity and nurturing a respectful environment for all staff and students. ETH Zürich is renowned for its outstanding education, cutting-edge research, and commitment to addressing global challenges.

For further information about the Professorship of Research on Learning and Instruction, candidates may contact Professor Dr. Martina Rau at [email protected]. Applications should be submitted via the ETH online portal in a single merged PDF document, including a letter of motivation, detailed CV, transcripts of all degrees, and names/contact information of three references. The application deadline is March 31, 2026, but applications will be reviewed immediately as they are submitted until the position is filled. Please note that applications sent by email or post will not be considered.

Funding details

Available

What's required

Applicants must hold a master's degree in psychology (preferably with an emphasis in Cognitive or Educational Psychology), Learning Sciences, Cognitive Science, or a related field. Strong understanding of experimental design and quantitative statistical analysis is required. Prior research experience is preferred. Candidates should be highly motivated to conduct independent research, committed, curious, and able to work with an interdisciplinary team. Excellent spoken and written English is required; fluency in German is preferred.

How to apply

Submit your application via the ETH online portal in a single merged PDF document titled with your last and first name. Include a letter of motivation, detailed CV, transcripts of all degrees, and names/contact information of three references. Applications sent by email or post will not be considered. Apply as soon as possible; applications are reviewed immediately until the position is filled.

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