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machine learning; acoustic signal processing enhanced by ML; human-in-the-loop/active-learning methods; representation learning; analysing sound sequences and vocal interactions; category discovery; Perma
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leading machine learning and/or computer vision venues; Excellent programming skills, particularly in Python and PyTorch; Excellent written and oral communication skills in English; The ability to conduct
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vision, yet their ability to acquire new expertise remains limited when training data is scarce or specialised. This project aims to develop the next generation of adaptive visual learning systems by
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-disciplinary domain. Specific research topics to apply to bioacoustics might include: low-footprint machine learning; acoustic signal processing enhanced by ML; human-in-the-loop/active-learning methods
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the foundations for future data-driven and AI-supported research in natural and engineering sciences. This is what you will do To fulfil the goals of the BridgeMD project, and the responsibilities of a postdoctoral