*University of Oslo/Centre of excellence on knowledge-driven machine learning Integreat is looking for candidates –
This call is part of the Marie Skłodowska-Curie Actions/COFUND – see the mobility requirement.
Worth noticing:
Integreat highlighted projects
Double descent and sufficiency
Mathematics - Point of contact: Emil Aas Stoltenberg
Separation of linguistic and factual knowledge in Large Language Models (LTG2)
Informatics - Point of contact: Andrey Kutuzov
Neural Networks' Learning via Sufficiency and Information Theory (DSB4-A)
Informatics - Point of contact: Ali Ramezani-Kebrya
Sustainable, Efficient, and Secure Machine Learning (DSB4-B)
Informatics - Point of contact: Ali Ramezani-Kebrya
Joint Physics-informed, Data-driven, and Digital twins for Complex Dynamical System Solvers (DSB4-C)
Informatics - Point of contact: Ali Ramezani-Kebrya
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Ali Ramezani-Kebrya
Associate Professor, Department of Informatics, University of Oslo
Principal Investigator, Norwegian Centre for Knowledge-driven Machine Learning (Integreat)
Principal Investigator, SFI Visual Intelligence
European Laboratory for Learning and Intelligent Systems (ELLIS) Member
https://alirk.github.io/