21 phd-machine-learning Fellowship scholarships in Norway

PhD Fellow in knowledge-driven machine learning

-driven machine learning, is seeking to recruit a fulltime PhD student at the UiT The Arctic University of Norway for a cross-disciplinary project across machine learning, statistics and logic, which is

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 Computational Geometry and Simulations

for feature extraction, which can serve as parameters in simulation. Alternatively, machine learning methods can be employed for comparison with the primary analysis-based approach. The objectives of this PhD

PhD Fellow in the intersection of information theory and deep learning

Torbein Kvil Gamst 28th May 2024 Languages English English English Faculty of Science and Technology PhD Fellow in the intersection of information theory and deep learning Apply for this job See

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 the intersection of information theory and deep learning

deep learning. The position is for a period of four years. The nominal length of the PhD programme is three years. The fourth year is distributed as 25 % each year and will consist of teaching and other

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 Computer Science

machine learning and with strong programming skills, and with an interest in working in close collaboration with industry. Working environment: The project will be done in an interdisciplinary team