6 machine learning Fellowship positions at University of Stavanger

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

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

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

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