Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- NTNU - Norwegian University of Science and Technology
- University of Nottingham
- Aalborg University
- The University of Manchester
- Durham University
- Eindhoven University of Technology (TU/e)
- Forschungszentrum Jülich
- Fraunhofer-Gesellschaft
- KU LEUVEN
- Manchester Metropolitan University;
- Naturalis
- Technical University of Munich
- University of Antwerp
- Vrije Universiteit Brussel
- Delft University of Technology (TU Delft)
- Manchester Metropolitan University
- Max Planck Institute for Biological Cybernetics, Tübingen
- Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg
- Monash University
- National Research Council Canada
- Norwegian Institute of Bioeconomy Research
- University of Basel
- University of Groningen
- University of Twente
- 14 more »
- « less
-
Field
-
architectures, neuromorphic computing, hardware security, and energy-efficient computer systems. The candidate will become part of the QuNeCo project, an ambitious collaboration between universities in
-
at different timescales, exploring trade-offs between different design choices, quantizing the models, and implementing the best-performing ones in custom digital hardware, on FPGA and/or in an application
-
deploying the face de‑identification pipeline on resource‑constrained hardware, optimizing the underlying AI models based on latency, memory, and power constraints, and building demonstrators that showcase
-
Physical Layer Security and Hardware Demonstrator Development Physical-layer security is becoming increasingly important for protecting next-generation wireless networks against eavesdropping, spoofing
-
assisted ISAC framework available at the TUM ACES Lab. ▪ Conducting real world experiments to analyze performance deviations between theoretical models, software simulations, and hardware behavior. ▪ Working
-
amplification hardware, which becomes increasingly difficult to scale as the number of qubits grows.
-
strategy. The research will involve power system and IBR modelling, protection algorithm development, laboratory prototyping, and validation through real-time simulation and hardware-in-the-loop testing
-
constraints into the theoretical analysis. Provide design guidelines for future experimental implementations of quantum repeater networks, specifying hardware requirements and performance benchmarks. Contribute
-
. The candidate will join the System Software Group , and study the performance and scalability characteristics of adapting scientific simulation software to current and future supercomputer hardware. The research
-
. Programming, coding, and experimental hardware skills (desirable). Strong analytical and mathematical capabilities. A passion for research and a willingness to learn. Excellent presentation, communication, and