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Knowledge of digital assurance frameworks, verification methods, or formal modeling Familiarity with adaptive or machine learning/artificial intelligence systems Interest in standardization and structured
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physics-based models and data-driven methods, to support interpretable and robust testing of autonomous behavior. Application of formal methods and reasoning techniques to support safety arguments
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plan proposal for academic supervisor(s) The project description must describe the topic, research question, theoretical basis, and choice of method. In addition, you must provide information about your
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of Norway, aims to develop an efficient and scalable microbial-based bioconversion process for poultry feathers into highly digestible protein product. The position involves training through formal courses
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the development of methods or frameworks to support secure and trusted data sharing for maritime AI model development. Depending on the candidate’s background and the project’s progression, the research
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” sessions to wrap up the week. These formal and informal occasions provide opportunities to exchange ideas, celebrate milestones, and strengthen connections. PhD candidates also arrange social activities
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is to design, implement, and experimentally validate collaborative path planning and execution methods for multiple USVs operating in complex maritime environments, taking into account heterogeneous
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on the analysis of complex event history data, with some relevant topics being the analysis of outcomes under competing risks, studies of individual heterogeneity, estimation using machine learning methods and
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regular gatherings such as professional meetings within the research group, monthly colloquia, shared lunches, and “Friday coffee” sessions to wrap up the week. These formal and informal occasions provide
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learning in complex systems, we aim to accelerate innovation and value creation in industry by developing better methods and smarter tools to do more with less—and faster. SFI-CELECT runs from 2026 to 2033