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In collaboration with Utrecht University, you will quantify fire dynamics and its impacts on vegetation and climate at regional scales, combining global vegetation models with state-of-the-art
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the intersection of machine learning (ML) and the sounds of wildlife (“bioacoustics”). We are also happy to consider candidates in one of the two fields who can demonstrate a strong basis for working in this cross
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travel; Flexible working hours: as a standard, you are entitled to a minimum of 29 leave days on the basis of a full-time working week of 38 hours; you can also save for extra leave, for example by working
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seeking a highly motivated Postdoctoral Researcher to join the Machine Learning cluster. The position is part of a research project investigating how visual foundation models can efficiently acquire new
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together with industry. In this team, we are looking for someone who can work independently. Every job is different, so in the beginning we will devote attention to your onboarding. If some of the work
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research project investigating how visual foundation models can efficiently acquire new expertise in specialised domains where labelled data is scarce. Recent foundation models have transformed computer
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can find more information about the Faculty of Science at https://www.universiteitleiden.nl/en/science/about-faculty-of-science . For more information about working at Leiden university please visit
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research groups within The Netherlands, and many prominent labs abroad. You can find more information about the Faculty of Science at https://www.universiteitleiden.nl/en/science/about-faculty-of-science
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personal development. You can expect an enjoyable job within the socially relevant world of education and research. The University's challenging and international work environment is located just steps away
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-to-work travel; Flexible working hours: as a standard, you are entitled to a minimum of 29 leave days on the basis of a full-time working week of 38 hours; you can also save for extra leave, for