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6th October 2025 Languages English English English The Department of Manufacturing and Civil Engineering , Faculty of Engineering, NTNU, has a vacancy for a Phd Candidate in Deep Learning for Real
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Ine-Therese Pedersen 15th August 2025 Languages English Norsk Bokmål English English PhD position in Deep Learning for Metocean Data Apply for this job See advertisement About us We are announcing a
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This is NTNU NTNU is a broad-based university with a technical-scientific profile and a focus in professional education. The university is located in three cities with headquarters in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will...
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develop new deep learning algorithms for spatio-temporal medical image analysis with particular focus on learning from limited labelled data. General information about the position. The position is a fixed
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develop new deep learning algorithms for spatio-temporal medical image analysis with particular focus on learning from limited labelled data. General information about the position. The position is a fixed
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), Deep Neural Networks. Probabilistic Machine Learning and Time-series Analysis. Industrial applications of AI (energy, process industry, automation). Software development experience in teams. Programming
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Learning, or a related field. For Postdoctoral Fellows: A completed PhD in one of the fields mentioned above and a strong publication record. Strong programming skills in Python and practical experience with
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. Experience working with remote sensing or geospatial data is a requirement Strong programming skills applied to geospatial data, such as satellite data, is a requirement. Experience working with deep learning
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national and international partners. The PhD project will focus on integrating advanced photogrammetric techniques applied to historical aerial imagery with modern deep learning-based image classification
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dissemination or publication in one or several of the following areas within advanced AI research and development, including bio-inspired AI, machine learning, deep learning, data science, and applications like