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with atmospheric instrumentation or field campaigns is a plus. Experience with data analysis (e.g., using Python, or similar tools) is advantageous. Good communication skills in English (written and
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related field, and will have experience with one or more of the following: agent-based simulations, system dynamics, mathematical modelling, probability theory, risk assessment, R, python and GIS. Good
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, stakeholders and the general public Programming skills in Python (preferred but not required) Excellent communication skills in written and spoken English, German is a plus High degree of personal responsibility
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, Geophysics, Computer Science, or a related field. A solid grasp of general physics and a keen interest in the physics of wave propagation. Strong programming skills in Python, Matlab, or similar languages. You
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analysis using Python or Matlab A genuine interest in and willingness to engage in fieldwork in the Swiss Alps An independent working style, with a reliable, self-organized, and proactive attitude Workplace
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discipline Knowledge of causal inference methods and/or machine learning Strong command of R (required) and/or Python (desirable) Working knowledge of or interest in learning NLP methods (especially
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programming (e.g., Python, C++, or similar) Experience with signal processing, machine learning frameworks, or statistical modeling Academic Background: A Master’s degree in Computer Science, Electrical
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research, or forestry during your coursework, you're already on the right track! Programming Enthusiasm: You enjoy solving problems through coding and have some experience with R or Python for data analysis
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strong background in computational modelling and optimisation. Programming: Proficiency in Python Good knowledge of structural engineering software (FEA, DEM) Motivation to work in a multidisciplinary and