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science, as well as PhD education in computer technology. The Mohns Center for Innovation and Regional Development researches innovation and offers master's education in innovation and entrepreneurship
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biomaterials, development of wear-testing methods, crown-material processing, mechanical characterisation, surface characterisation, micro-CT and quantitative image analysis. An interdisciplinary and
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instrumentation, physical modelling, sensor technology, or experimental validation is advantageous. Experience with three-dimensional modelling, computer-aided design (CAD), or additive manufacturing (3D printing
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applications to medical data. The project will combine theoretical work on multiparameter persistence with the design and implementation of algorithms for medical image analysis. The successful candidate will
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of algorithms for medical image analysis. The successful candidate will investigate computational complexity, stability, and numerical summaries of multiparameter persistence, as well as applications to medical
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of maturity, this technology requires to experiment a change of paradigm to guarantee a sustainable development for the years to come. One pathway to achieve this paradigm shift relies on the development
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will be further developed by the successful candidate in collaboration with the supervisory team. Main tasks The successful candidate will: develop and evaluate image-classification workflows
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qualifications Master’s degree in Information and Communication Technology (ICT), Computer Science, Artificail Intelligence, Machine Learning, Data Science, Electrical and Computer Engineering, or a similar
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31, 2026. No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo. The position is placed in the Digital Signal Processing and Image Analysis group (DSB
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prioritization 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