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Human-Computer Interaction

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The Decision Sciences and Analytics group recruits a doctoral researcher to study how AI systems should be designed around human decisions, particularly when consequences are high stakes or long term. Potential settings include clinical and legal decisions and education. The work is mainly theoretical, with experiments and external collaborations where needed, alongside teaching and student supervision. The initial appointment is 18 months, with extension toward a four- to five-year doctorate subject to progress. The start date is negotiable. Apply online with a one-page motivation letter, CV, full academic records and at least two referees. No closing date is advertised.

A 30% student assistant position supports virtual-reality experiments on embodied learning in physics and mathematics at the Professorship for Learning Sciences and Higher Education. Tasks include preparing VR equipment, running participant sessions according to study protocols, conducting interviews and managing research data. Training is provided, and prior VR experience is not required. The work is planned for October–December 2026, approximately 10–15 hours each week, with at least one full day available. Applicants must currently study at a university in Zurich, communicate fluently in English and explain basic physics or mathematics clearly. Apply online with a short motivation statement, CV and proof of enrolment. No closing date is advertised.

Mon, Sep 14, 2026

Develop an AI-assisted digital platform for stroke rehabilitation at the Singapore-ETH Centre. The project combines a mobile app and conversational agent with a soft robotic hand orthosis, supporting rehabilitation adherence at home. Work includes gathering patient and clinician requirements, building and validating the app, integrating rehabilitation hardware, and evaluating the intervention in a six-week clinical study with NTU and Tan Tock Seng Hospital. This is a full-time, fixed-term PhD position. The current vacancy accepts online applications without a stated closing date; submit a cover letter, CV with two references, and university transcripts. The employer offers up to two days of home working per week.

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