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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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mathematics, computer science or related fields. A demonstrable affinity with the subject matter of the project. Demonstrated programming skills with open toolboxes. An outstanding record of undergraduate and
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mathematics, computer science or related fields. A demonstrable affinity with the subject matter of the project. Demonstrated programming skills with open toolboxes. An outstanding record of undergraduate and
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of the FMW, together with supervisory staff and other researchers at Tilburg University. Requirements Specific Requirements A successful PhD candidate should preferably have: A master’s degree in mathematics
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master’s degree in mathematics, computer science or related fields. A demonstrable affinity with the subject matter of the project. Demonstrated programming skills with open toolboxes. An outstanding record
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, Econometrics, Mathematics, Statistics or a related discipline; Has excellent programming skills in Python, R and/or Stata; Is highly motivated, disciplined and rigorous when collecting and analyzing data; Has
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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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, mathematics or operations research to address worldwide food security. The hunger problem in the world is huge. Today, according to the United Nations (UN 2021), as many as 828 million people regularly go to
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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