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Field
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methods, and structured unsupervised learning. Research Environment & Collaboration The successful candidate will work at the interface of probabilistic machine learning, computational statistics, and
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an understanding of the interaction between human operators, technology and operational conditions. The project must maintain a clear connection to maritime operational technology and operational environments
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up exciting career opportunities? As a PhD candidate with us, you will work towards your doctorate in a strong international research environment and gain experience that supports a future career in higher
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methods, and structured unsupervised learning. Research Environment & Collaboration The successful candidate will work at the interface of probabilistic machine learning, computational statistics, and
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opportunities? As a PhD candidate with us, you will work towards your doctorate in a strong international research environment and gain experience that supports a future career in higher education, research
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quality software. As a PhD Candidate, you will carry out this work within the Software Engineering group at the Department of Computer Science, one of Norway's leading software engineering environments
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in environmental sampling (water, sediment, soil), hydrological monitoring, field campaign logistics and harsh or remote environments. Strong data analysis skills and experience with statistical tools
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the environment, food production and sustainability. The aim is to generate new knowledge of the sustainable management of biological resources. Read more about the PhD program here . The workplace is at Campus
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Range (NCR). The research aims to investigate how cascading cyber effects can be represented and executed across interconnected digital environments, including both IT and Operational Technology (OT
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can be represented and executed across interconnected digital environments, including both IT and Operational Technology (OT) systems. Building on the Norwegian Cyber Range's existing capabilities