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6 Mar 2026 Job Information Organisation/Company ETH Zürich Research Field Computer science » Other Engineering » Civil engineering Mathematics » Statistics Sociology » Urban sociology Technology
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science, statistics, computational social science, economics, quantitative psychology, or a closely related field Expertise using machine learning Ability to work with high-dimensional and/or longitudinal data
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advanced statistical analysis, pathway & network analysis, Integrating complex clinical, biological and molecular data. Contributing to data visualization, figure generation and interpretation
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to exploit some of the cutting-edge experimental and computational methods, comprising constraint-based and kinetic modeling, statistical analysis of large datasets, high-throughput metabolomics, time-lapse
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scientific publications in international peer-reviewed journals Experience in conducting empirical studies and knowledge of statistical data analysis (e.g., SPSS, R, Jamovi) Very good knowledge of Good
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Environmental science » Other Mathematics » Statistics Researcher Profile Recognised Researcher (R2) Country Switzerland Application Deadline 9 Mar 2026 - 22:59 (UTC) Type of Contract Permanent Job Status Full
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Swiss Federal Institute for Forest, Snow and Landscape Research WSL | Switzerland | about 2 months ago
requires a strong background in statistics and experience implementing analyses using scripting languages (e.g., R and Python), as well as experience working with large, complex, and unstructured datasets
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experiments, experience with online field methods is useful. For both projects, skills in statistical data analyses are important. You enjoy engaging with ideas in depth and are motivated by understanding
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. For both projects, skills in statistical data analyses are important. You enjoy engaging with ideas in depth and are motivated by understanding concepts rather than simply completing tasks. You are willing
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statistical modelling; familiarity with or interest in machine‑learning approaches is an advantage, but not a requirement. Excellent written and spoken English communication skills. A genuine interest in