PhD position Geographic Information Visualization and Analysis (GIVA) “GeoNavLearn” (Zurich)
University of Zurich
:: Start of employment 01.09.2025 ::
With 28,000 students and 9,000 employees, the University of Zurich (UZH) is the biggest university in Switzerland. As a member of the League of European Research Universities, it counts amongst the leading European universities. The UZH offers a culturally diverse and inspiring working environment and promotes international collaboration in research.
The Geographic Information Visualization and Analysis (GIVA) group at the University of Zurich, Faculty of Science, invites applications for a 4-year PhD position with the SNF-funded Project “GeoNavLearn: Towards geographic context-adaptive mobile geographic information displays (mGIDs) to support navigators‘ spatial learning” led by GIVA head Prof. Dr. Sara I. Fabrikant.
The initial appointment is for the first year, with a three-year extension.
- You will create an urban VR environment and run empirical studies with human participants
- You will collect and analyze human sensor data (i.e., EEG, eye tracking, interaction logs) in VR
- You will present and publish your results at appropriate academic venues
- You will participate in the Graduate School in Geography and Earth System Science and complete the associated requirements
- You will contribute to teaching and services in the GIVA Group
- You have experience in empirical research with human participants
- You are interested in creating virtual reality (VR) environments and running empirical studies in VR
- You are confident in writing scripts to collect and process human sensor data (i.e., EEG, eye tracking, etc.) and perform various analyses (i.e., in Python or R)
- You have good organizational and communication skills
- You speak and write in English fluently. Knowledge of German would be an asset
- You value diversity and inclusion in the workplace
- Your PhD will be part of a structured programme at the Graduate School of Geography and Earth System Science
- 70% protected time for your research
- Pay according to the regulations of the University of Zurich for PhD Candidates (at the standard employment level for doctoral students of 80%)
- Holiday entitlement of 25 days per year plus public holidays
- Regular supervision and mentoring
- UZH offers attractive working conditions and opportunities for further education
2) A CV and the contact details for three referees
3) Degree transcripts
4) Your Master’s thesis, including a 500-word summary of your thesis setting out your scientific motivation, what you did, results, and the implications of your work. Include a statement about whether and how you have used AI for this application.
The initial deadline for applications is May 15, 2025. Review of applications will commence thereafter and will continue until the position is filled.
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