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at OsloMet OceanLab, contributing to research on data-driven methods for sustainable maritime operations. The work will focus on voyage optimization, operational decision support, and control strategies
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Experience1 - 4 Additional Information Website for additional job details https://academicpositions.com Work Location(s) Number of offers available1Company/InstituteOsloMet – Oslo Metropolitan
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of maintenance. The project aims to develop an integrated decision-support framework that combines inspection images, sensor data, and engineering interpretation to enable more transparent, evidence-based
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quantum computing, aiming to solve small, complex sub-problems using Quantum Process Units (QPUs) while leveraging classical High-Performance Computing (HPC) on data-intensive tasks. With dedicated
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on effective and safe inspection and maintenance. Current maintenance approaches rely primarily on turbine sensor data, meaning that human and organizational factors are largely overlooked. This represents a
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research work Applications are evaluated based on the information available in Jobbnorge at the application deadline. You should ensure that your application shows clearly how your skills and experience meet
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, reference letters, and all pages of certificates/diplomas for bachelor’s and master’s degrees. Foreign education should be pre-approved, and a letter of approval must be attached. Information is available via
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information More information on the position (and project description) can be obtained from Head of Department Tore Markeset, tel: 518 321 91, e-mail: tore.markeset@uis.no or Professor Roger Flage, tel: 518
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— systems. It targets pioneering an architecture optimized for bilateral sensor processing. By fusing multiple data streams, VEST-CHIP aims to improve health tracking accuracy and unlock capabilities such as
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, GenAI models act as probabilistic black boxes, often producing plausible but factually incorrect information without source attribution. This poses unacceptable risks particularly in high-stakes domains