16 machine-learning scholarships at UiT The Arctic University of Norway in Norway

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 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 for spatio-temporal medical image analysis

within machine learning, more specifically within deep learning (deep artificial neural networks). The research focus is broadly on developing the next generation of deep learning solutions in order to

PhD Fellow in the intersection of information theory and deep learning

Excellence, funded by the Research Council of Norway. Integreat aims to shape the new field of knowledge-driven machine learning in Norway. Our research makes machine learning more sustainable, accurate

PhD Fellow in the intersection of information theory and deep learning

of Norway. Integreat aims to shape the new field of knowledge-driven machine learning in Norway. Our research makes machine learning more sustainable, accurate, trustworthy, and ethical. Unlike the current

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

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 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

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