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: PhD in one of the following fields, or closely related: machine learning, computer science, applied mathematics, statistics, signal processing, acoustics, bioacoustics Experience in training and
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currently consists of 14 staff members at lecturer-, assistant professor and associate professor level, and 10 PhD students. This group’s current research lines are inclusive and sustainable machine
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) Master’s degree with a background in applied/mathematical statistics, machine learning, sociometrics, econometrics, or the like, and a strong interest in computational statistics. Candidates with a social
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Specific Requirements Your background We are looking for a strong PhD candidate with a relevant (Research) Master’s degree with a background in applied/mathematical statistics, machine learning, sociometrics
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. Methods include Bayesian modelling, data integration, supervised and unsupervised learning, data mining, and machine learning. The candidate is also expected to collaborate with (substantive) researchers in