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1st October 2026 Languages English English English The Department of Electronic Systems has a vacancy for a PhD Candidate in Machine Learning & Signal Processing for Industrial Applications Apply
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SINTEF, Equinor, and Total. The main objectives of the project include the development and the integration of signal processing and machine learning methodologies aiming to improve flow assurance via field
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to teach robots to understand forest well enough to navigate and move through them in real time, using machine learning on LiDAR point clouds and camera imagery for real-time understanding of the forest
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knowledge of MR physics Experience with signal processing and/or image processing Experience with Linux systems and High Performance Computing Good oral and written presentation skills in Norwegian
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for the position. Preferred selection criteria Experience with machine learning and neural networks Basic knowledge of MR physics Experience with signal processing and/or image processing Experience with Linux
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/phd/regulations/regulations.html#toc8 Grade requirements: The norm is as follows: The average grade point for courses included in the Bachelor’s degree must be C or better in the Norwegian educational
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disciplinary backgrounds include, but are not limited to, communication, media studies, human-computer interaction, information systems, sociology, psychology, management, organisational behaviour, human
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are security-eligible. We may use background checks as part of our recruitment process. What are we looking for in you? Personal skills: We are an international team of researchers from diverse scientific and
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adaptations, digital, technical, or physical adjustments, or other practical measures. If you have an immigrant background, a disability, or CV gaps, we encourage you to indicate this in the job application
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processing and analysis of large datasets. Evidence of creativity and capability of independent research. Fluent oral and written communication skills in English. Desired qualifications: It is an advantage