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/active-learning methods; representation learning; analysing sound sequences and vocal interactions; category discovery; Perma computing. The successful candidate will work with Dr. Dan Stowell and his
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large interest from researchers, industry, and students. LIACS has a strong multidisciplinary AI portfolio (Machine Learning, Human-Computer Interaction, Natural Language Processing, Natural Computing
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mathematics, computer vision, numerical analysis and computing as well as probability and statistics. What you bring Master’s degree in mathematics or equivalent, including a solid background in analysis
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: conduct research within the scope of the project leading to peer-reviewed publications in journals and conference proceedings; collaborate closely with Dr. Elena Raponi (the Natural Computing Group) and
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Experience in working with large geospatial datasets (e.g., ERA5, CMIP6, Sentinel, MODIS) Working with complex models and high performance computing, ideally dynamic global vegetation models (DGVMs
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(Machine learning, Efficient Algorithms and High Performance Computing), and Physics (Image Formation Modelling). Your project is part of the DUAL-IMPACT project, which focuses on the development of new