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software development of their research. The position focuses on developing Python and C# libraries for research in architecture, civil engineering and extended reality (XR), building on the open-source
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Master’s degree in Computer Science, AI, Machine Learning, Mathematics, Electrical Engineering, or a closely related field; or Master’s degree in Medicine (MD) with strong Python skills and some ML
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motivated individual to develop Python tools for analyzing data from our holographic cloud particle imagers. Our research group studies the crucial role of clouds and aerosols in the climate system, aiming
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computationally and developing scientific software. Experience in Python is highly recommended, additional knowledge of performance-oriented modeling frameworks, either based on Python (e.g., JAX, Pytorch) or other
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Required skills Master’s degree in STEM Strong proficiency in Python Practical experience with PyTorch Solid understanding of unsupervised machine learning and deep learning Excellent communication skills
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, ASAP, or equivalent) Programming skills in Python, MATLAB, or similar Ability to work independently as well as in interdisciplinary teams Very good command of English (written and spoken) Preferred
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) Familiarity with automation software (e. g. Hamilton Venus), scripting, or workflow scheduling (e.g. HighRes Cellario) and experience with standard programming languages such as Python, C++, Matlab or R
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, Python, RStudio IDE, VS Code) You know your way around the collection of R Tidyverse packages, and you are a competent practitioner in solving problems as outlined in the book R for Data Science You stay
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working with multimodal data fusion and high-resolution remotely sensed data is required. Proficiency in programming, particularly in Python, is essential. Knowledge of deep learning approaches and
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Programming experience in python Interest in extreme weather phenomena Workplace Workplace We offer A fully funded PhD position at ETH Zurich within an SNSF Ambizione–funded project The opportunity to work