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include hardware, algorithms, visual computing, AI, databases, software engineering, information systems, learning technology, HCI, CSCW, IT operations and applied data processing. The Department has groups
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, and control (such as CNNs, RNNs/LSTMs, autoencoders, physics-informed neural networks, anomaly/outlier detection, uncertainty quantification, model predictive control). Documented knowledge and
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, software developments, and industrial case studies. Duties of the position Complete the doctoral education until obtaining a doctorate. Carry out research of good quality within the framework described above
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working environment. Our work environment is defined by its friendly and supportive atmosphere, with regular gatherings such as professional meetings within the research group, weekly colloquia, shared
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use experimental and quantitative research methods. Within these topics and methods the candidate will have considerable freedom to define the details of the PhD project. Skjalg Bøhmer Vold/OsloMet via
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engineering disciplines, including structural mechanics, hydrodynamics and machine learning Strong programming skills in Python and/or MATLAB Experience with scientific computing, CFD/FEM software, potential
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will have considerable freedom to define the specific focus of the project within this overall thematic framework. The project must be grounded in relevant sub-disciplines within sport management
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urban transitions and decision-making under uncertainty and in close interaction with the Software Engineering group of the Computer Science Department. Are you motivated to take a step towards a
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with researchers and practitioners through the aiD network and related national initiatives. Contribute to the scientific development and collaborative activities of the Data Science research group
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environment, with access to an international network and regular research seminars featuring renowned scholars. As a PhD candidate, you will: be admitted to the PhD programme in Business with the aim