Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- University of Antwerp
- Carnegie Mellon University
- Delft University of Technology (TU Delft)
- Technical University of Munich
- University of Nottingham
- Aalborg University
- KU LEUVEN
- Monash University
- Aalborg Universitet
- Durham University
- Inria, the French national research institute for the digital sciences
- Leiden University
- SciLifeLab
- The University of Manchester
- Tilburg University
- University of Bedfordshire
- University of Innsbruck
- University of Oslo
- University of Tübingen
- Aarhus University
- Abertay University
- Adam Mickiewicz University
- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
- Eindhoven University of Technology (TU/e)
- Fondazione Bruno Kessler
- Fraunhofer-Gesellschaft
- Instituto de Sistemas e Robótica (ISR)
- Istituto Italiano di Tecnologia
- Karolinska Institutet, doctoral positions
- LIVERPOOL JOHN MOORES UNIVERSITY
- Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V.
- Linnaeus University
- Ludwig-Maximilians-Universität München •
- Manchester Metropolitan University
- Manchester Metropolitan University;
- Northeastern University
- Saarland University •
- Swinburne University of Technology
- Technical University Of Denmark
- The Open Universiteit (OU)
- The University of Newcastle
- University Medical Center Groningen
- University of Bergen
- University of Plymouth
- University of Twente (UT)
- Wageningen University & Research
- 38 more »
- « less
-
Field
-
actively on the preparation and defence of a PhD thesis in the field of explainable reinforcement learning (XRL). Explainable reinforcement learning aims to make decisions, policies, and learning processes
-
actively on the preparation and defence of a PhD thesis in the field of continual reinforcement learning. Continual reinforcement learning studies how agents can learn across a sequence of changing tasks
-
experienced with aerial robotics, motion planning, control, manipulation and/or machine learning. Master of Science (MSc) diploma in Robotics, Computer Science, Systems & Control, Aerospace Engineering, Applied
-
mathematics, machine learning, photonics, and clinical practices in vision. Be part of a multidisciplinary research team spanning science and engineering, psychology, and healthcare. Access state-of-the-art
-
and cooperation. You have a strong interest in machine learning/artificial intelligence. You have a strong interest in graph-based learning (e.g., graph neural networks). You have experience with deep
-
research into power electronics for energy management and decarbonization. Vision We are seeking a PhD student that is motivated and passionate about the design and control of power electronics technologies
-
electrical engineering, control engineering, applied mathematics, computer science, or a related field A strong background in probability and statistics, machine learning, or control theory Interest in cyber
-
feedback modeling, computer simulation, non-linear model analysis, interactive learning environments and decision-laboratory experiments. Description of the SPARK4B+ project The position is within the EU
-
. You have a strong interest in machine learning/artificial intelligence. You have experience with deep learning. You have experience with reinforcement learning (preferred). You have experience with
-
attention to quality, integrity, creativity and cooperation. You have a strong interest in machine learning/artificial intelligence. You have a strong interest in graph-based learning (e.g., graph neural