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temperatures, melting glaciers, shifting precipitation and snow patterns, changing biodiversity, and increasing human pressures are transforming these landscapes. CMT aims to generate cutting-edge knowledge and
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of the underwater environment and marine installations. The system must be flexible, distributed, robust, energy-efficient, cost-effective, and secure, and be able to handle large volumes of data. Acoustic
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Einsteins theory of General Relativity on cosmological scales. The data it will collect will consist of locations of tens of millions of galaxies with accurate spectroscopic redshifts together with billions
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biodiversity, and increasing human pressures are transforming these landscapes. CMT aims to generate cutting-edge knowledge and practical solutions to safeguard mountain ecosystems and the communities
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6th April 2026 Languages English English English The Department of Electronic Systems has a vacancy for a PhD Candidate in Trustworthy AI-Enabled Signal Analysis for Next-Generation Wireless Systems
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with high-impact problems in next-generation wireless systems? We are recruiting a talented and motivated PhD student for a Research Council of Norway-funded project in collaboration with NTNU and SINTEF
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should be used in this context. The general research question is: “How can HPC fur-ther enhance AI/ML, and vice versa?” Working closely with the staff of the newly established HPC research group
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at Blindern, Oslo. Job description The PhD fellowship position is located at the Department of Informatics and is hosted jointly by the Network and Distributed Systems Research Group and the Robotics
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quantification, in particular the theory and methods known as predictive Bayes. Predictive Bayes theory involves getting Bayesian type uncertainty for parameters given data (i.e., a posterior type distribution
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modelling of acoustic signal generation and transmission in multiphase flow systems. This is contingent on additional mobility funding, which the candidate is expected to apply for. Distributed Acoustic