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Field
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multifractal analysis, urban and energy planning, geography, and artificial intelligence to develop coherent and resilient approaches for urban energy infrastructures under land-use constraints such as No Net
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field (e.g., Environmental or Soil Sciences, AI, Data Science, Geosciences). Basic knowledge of soil science and strong interest in AI and soil health. Experience with data analysis/modelling and
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with data analysis/modelling and programming (R or Python). Advantageous: geostatistics, digital soil mapping, remote sensing, GIS, big data or cloud tools. Proactive working style, strong communication
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2 Apr 2026 Job Information Organisation/Company University of Basel Research Field Biological sciences » Other Environmental science » Earth science Environmental science » Ecology Geography » Other
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analysis of large datasets, high-throughput metabolomics, time-lapse microscopy, to investigate how to pharmacologically interfere with fundamental mechanisms in the regulation of cancer metabolism
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related field Strong Python programming skills and experience with PyTorch or TensorFlow Interest in multimodal data, time-series analysis, or NLP Excellent English; German or French is an asset
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LevelMaster Degree or equivalent Skills/Qualifications Your profile Master’s degree in aerosol science or a related field Experience in measurements and data analysis Excellent command of English Ability
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physics, PVD thin-film deposition, optical characterization methods, and advanced data analysis are advantageous Ability to work in a collaborative team environment towards a common goal Proficient English
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and quantity bioaerosols To employ data analysis and bioinformatics to extract bioaerosol characteristics To apply source tracking tools to identify the sources and quantify the contributions To employ
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Programming skills (commonly C++, Python, or similar languages used in HEP frameworks), Monte Carlo simulation methods and data analysis techniques Interest in connecting ideas and people across disciplines