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: Experience with analyzing GPS tracks Good data-handling skills and ability to use R (compulsary) and preferably also Python and/or GIS competently Statistical/causal inference knowledge PhD degree in a related
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evaluation. Collaborating with heritage partners (e.g., Swiss National Museum, SIK-ISEA) and preparing evaluation reports and a white paper for applied use. PhD in Digital Humanities, Imaging Science, Computer
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of Research Experience4 - 10 Research FieldPhysicsYears of Research Experience4 - 10 Research FieldTechnologyYears of Research Experience4 - 10 Additional Information Website for additional job details https
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responsible for the project collaboration and administration within their field, scientific publications, as well as collaboration with academic and industrial partners. Your profile PhD in relevant field
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with the successful candidate, depending on their background and interests. Profile • PhD in Mathematics (to be completed by the start of the position) • Strong research record in stochastic analysis
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Swiss Federal Institute for Forest, Snow and Landscape Research WSL | Switzerland | about 1 month ago
30 Jan 2026 Job Information Organisation/Company Swiss Federal Institute for Forest, Snow and Landscape Research WSL Research Field Environmental science » Earth science Environmental science
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curate data from live organisms sampled with RODI. Actively contributing to iterative improvements of RODI, including both hardware and software developments, based on field and analytical feedback
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) LanguagesENGLISHLevelExcellent Research FieldComputer scienceYears of Research Experience4 - 10 Additional Information Website for additional job details https://www.idiap.ch/en Work Location(s) Number of offers available1Company
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Zurich, PSI, and international partners More information about the project and the group can be found on our website . Starting date: flexible in 2026 Employment: full-time Profile PhD in physics or a
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per week) Participate in academic self-governance Completed relevant university degree (Master's or equivalent) and a completed PhD in sport science, psychology, or a related field Experience in data