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) within the Department of Computer and Information Science . At STIMA we conduct research and education in both statistics and machine learning, at the undergraduate, advanced and PhD levels. We regularly
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cent of full-time. Your qualifications You have graduated at Master’s level in Mathematics, Computer/Data Science, Computational Science and Engineering, or a related field, or completed courses with a
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. Your profile You have documented expertise in marine ecology and computer vision and machine learning methods for video-based fish monitoring. You have excellent IT skills and experience in handling
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equivalent. Specific knowledge of hydrology, urban water engineering, basic computer programming (e.g. Matlab or Python) and experience carrying out measurements of stream flow (or similar) are meritorious
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field measurements (e.g. related to soil–water processes or geophysical approaches), and basic computer programming skills (e.g. MATLAB or Python) are meritorious. Other important skills include
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and 3D electromagnetic simulations is considered a significant advantage. Your workplace You will be working at the Division of Electronics and Computer Engineering (ELDA), which conducts teaching and
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at the Division of Statistics and Machine Learning (STIMA) within the Department of Computer and Information Science . At STIMA we conduct research and education in both statistics and machine learning
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well as digital filters is advantageous. Your workplace You will be working at the Division of Electronics and Computer Engineering (ELDA), which conducts teaching and research in a broad range of areas, from