Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Delft University of Technology (TU Delft)
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- Eindhoven University of Technology (TU/e)
- Queensland University of Technology
- Wrocław University of Science and Technology
- Graz University of Technology
- Grenoble INP - Institute of Engineering
- Lulea University of Technology
- Luleå University of Technology
- Luxembourg Institute of Science and Technology
- Technical University of Munich
- Tilburg University
- University of Luxembourg
- Blekinge Institute of Technology
- Chalmers University of Technology
- ETH Zürich
- Karlsruhe Institute of Technology •
- Kurt Schwabe Institute for Measuring and Sensor Technology e.V. (KSI) Meinsberg
- Luxembourg Institute of Science and Technology (LIST)
- Norwegian University of Life Sciences (NMBU)
- Rochester Institute of Technology
- Silesian University of Technology
- Swansea University
- Swinburne University of Technology
- The University of Alabama
- University of Birmingham
- University of Warwick
- Wageningen University & Research
- 19 more »
- « less
-
Field
-
-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
-
10 Jul 2026 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Engineering » Computer engineering Engineering » Electrical engineering Researcher Profile
-
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
-
selection criteria Knowledge of sensors and measurement techniques Experience from the industry providing sails for merchant ships Experience with Computational Fluid Mechanics Knowledge of machine learning
-
, 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
-
adaptive resource allocation, AI-driven network orchestration, dynamic beam steering, joint communication and sensing, and cross-layer optimization. Machine learning techniques will be investigated
-
requirements Essentials: Basic knowledge of power systems and machine learning/AI. Completed an MSc degree in a highly technical related discipline (computer science, electrical engineering, etc.) and you were
-
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
-
15 Aug 2026 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Computer science » Programming Engineering » Computer engineering Engineering » Electrical
-
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