23 phd-machine-learning "Department of Mathematics" positions in Norway

PhD Research Fellow in applied and computational mathematics – CSSR

to load from YouTube. Accept cookie and refresh page to watch video, or click here to open video) PhD position The Department of Mathematics at the University of Bergen has a vacancy for a fixed-term 3

PhD Research Fellow in applied and computational mathematics – CSSR

want to take part in shaping the future? ... (Video unable to load from YouTube. Accept cookie and refresh page to watch video, or click here to open video) PhD position The Department of Mathematics

PhD Fellowship in Geophysical Techniques for CO2 and Energy Storage

combination of geophysical, geological, and petrophysical data with advanced data processing techniques, including multi-component elastic full-waveform inversion, AVO inversion and machine learning, will be

Postdoctoral Fellow in Computational Engineering

fields both locally (field by field) and regionally (groups of fields). Data driven analyses will be complemented by physical reservoir modelling, with machine learning approaches to extract correlations

Postdoctoral Fellow in Optimization of Multi-Energy Systems

previous experience in application of machine learning techniques within energy systems strong analytical skills and ability to collect, analyze and study the impact of low carbon technologies good knowledge

PhD Fellow in Super-Control of Floating Wind Turbine Farms

: knowledge and experience within marine technology, in particular, offshore wind turbine technology knowledge and experience within machine learning motivation and potential for research within the field

PhD Fellowship in Trustworthy AI: Security, privacy and robustness in AI models

solutions. The research will navigate the complexities of adversarial machine learning attacks and defenses, formulate robustness metrics, and emphasise the challenges of large language models (LLMs

PhD Fellowship in Trustworthy AI: Security, privacy and robustness in AI models

solutions. The research will navigate the complexities of adversarial machine learning attacks and defenses, formulate robustness metrics, and emphasise the challenges of large language models (LLMs

PhD Fellow in Deep Learning and statistics for heterogeneous data

The successful candidates will work at the machine learning group at UiT and will formally be affiliated with the Department of Mathematics and Statistics and collaborate closely with researchers at the Department

PhD Fellow in Machine Learning for graphs and time series data

Description The position A PhD position in machine learning for graphs and time series data is available at the Department of Mathematics and Statistics , Faculty of Science and Technology . The position is