Sort by
Refine Your Search
-
Country
-
Employer
- NTNU - Norwegian University of Science and Technology
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- NTNU Norwegian University of Science and Technology
- Wrocław University of Science and Technology
- Queensland University of Technology
- Blekinge Institute of Technology
- Grenoble INP - Institute of Engineering
- Lulea University of Technology
- Technical University of Munich
-
Field
-
of theoretical and applied IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases, software engineering, information systems, learning
-
support. The PhD candidate will develop and validate a hybrid methodology that combines established stochastic optimization with AI-based learning. The aim is not only to develop new algorithms, but also to
-
learning paradigms. The framework will support rapid prototyping, automated design-space exploration, and cross-technology benchmarking, providing new insights into the co-design of learning algorithms
-
use, and long-term crop management goals. While several algorithms have shown promising results in energy savings and crop yield, most of these methods have only been tested in simulation, and make use
-
of service. The project is conducted in collaboration with two clusters at the Department of Mathematics and Computer Science of TU/e: Data and Artificial intelligence . Novel learning algorithms will
-
scheduling algorithms for fast control and reconfiguration of the optical AI compute clusters. Realize a small-scale compute cluster lab testbed to demonstrate and evaluate the performance of the innovative
-
techniques, including KKT conditions or ADMM algorithms, would be appreciated • Interest in flexibility management, game theory, equilibrium problems, or multi-energy systems • Strong analytical, research, and
-
-static beamforming methods, and semi-tomographic reconstruction algorithms that enable high-quality 3D visualization of the abdominal aorta. In addition, you will develop algorithms for segmentation
-
on a physical non-nuclear test system. You will design control algorithms that handle the full range of operational states, from steady cruising to rapid load changes and emergency scenarios, and ensure
-
IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases, software engineering, information systems, learning technology, HCI, CSCW, IT