11 machine-learning "Department of Mathematics" Fellowship scholarships

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 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 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 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 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

PhD Fellow in Deep Learning and statistics for heterogeneous data

studentship affiliation 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

PhD Fellow in knowledge-driven machine learning

Norwegian centre of excellence with a community of ambitious researchers from the fields of machine learning, statistics, logic, language technology, and ethics. Integreat, the Norwegian centre for knowledge

PhD Fellowship in Computer Science: Distributed Systems Verification

approximately 500 employees at the Department of Electrical Engineering and Computer Science, Department of Structural Engineering and Materials Science, Department of Mathematics and Physics, Department

PhD Fellowship in Advanced Power Distribution Network Analysis

Intelligence (AI) techniques such as Machine Learning can be applied for power distribution network analysis to create improved observability and implement proactive operational measures such as activation