Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- Delft University of Technology (TU Delft)
- NTNU - Norwegian University of Science and Technology
- Eindhoven University of Technology (TU/e)
- NTNU Norwegian University of Science and Technology
- Lulea University of Technology
- Queensland University of Technology
- Graz University of Technology
- Luxembourg Institute of Science and Technology
- Carnegie Mellon University
- Maastricht University (UM)
- Luleå University of Technology
- Luxembourg Institute of Science and Technology (LIST)
- Newcastle University
- Swinburne University of Technology
- The University of Manchester
- Wrocław University of Science and Technology
- Brandenburg University of Technology Cottbus-Senftenberg •
- Dresden University of Technology •
- Grenoble INP - Institute of Engineering
- Karlsruhe Institute of Technology •
- Monash University
- National University of Singapore
- Rochester Institute of Technology
- Technical University of Munich
- The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences
- Tilburg University
- Utrecht University
- VIB
- Łukasiewicz Research Network - Krakow Institute of Technology
- Blekinge Institute of Technology
- Brno University of Technology, Central European Institute of Technology
- Centre Internacional de Mètodes Numèrics en la Enginyeria
- Chalmers University of Technology
- Foundation for Research and Technology
- Foundation for Research and Technology-Hellas
- KTH Royal Institute of Technology
- Massachusetts Institute of Technology
- Massachusetts Institute of Technology (MIT)
- Mälardalen University
- Personalabteilung der Montanuniversität Leoben
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Silesian University of Technology
- Singapore University of Technology & Design
- THE UNIVERSITY OF HONG KONG
- Technical University of Munich (TUM)
- The University of Alabama
- The University of Newcastle
- University of Birmingham
- University of East Anglia
- University of Exeter;
- University of Southern California
- University of Twente
- University of Warwick
- Università degli Studi di Pavia
- Vrije Universiteit Brussel
- Wageningen University & Research
- 46 more »
- « less
-
Field
-
Engineering or related disciplines, provided you have a strong interest in communication systems and networking. If you have a solid technical background and are excited about future wireless and satellite
-
heterogeneity govern transport dynamics and degradation mechanisms during extended operation. A coupled mechanical–transport framework, accelerated through machine-learning surrogate models trained on multiscale
-
for recruitment positions for general criteria for the position. Preferred selection criteria Good oral and written presentation skills in Norwegian/Scandinavian equivalent level or acquire them during the course
-
, including a mixture of classical and quantum mechanics simulations, cheminformatics and machine learning, as well as collaborative software development, providing expertise for a broad range of future careers
-
-trivial software. Solid understanding of algorithms, numerical methods, scientific computing, or machine learning. Ability and motivation to write clean, maintainable and well-tested code. Strong interest
-
meet the requirements for admission to the faculty's doctoral programme in Engineering Cybernetics . Strong programming skills, in particular Python, and practical experience with modern machine learning
-
adaptive resource allocation, AI-driven network orchestration, dynamic beam steering, joint communication and sensing, and cross-layer optimization. Machine learning techniques will be investigated
-
applications based on the following skillsets. If you do not fullfil all requirements, please still apply (there is room for learning-on-the-job). An engineering degree, preferably, aerospace or mechanical
-
intelligence, or related areas Experience with large language models, machine learning systems, software testing, program analysis, requirements analysis, or software quality assurance Strong programming skills
-
are applied in real-world settings characterized by large-scale networks, stochastic demand, operational disruptions, and complex constraints. A central research question is how machine learning can be