Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- University of Nottingham
- Eindhoven University of Technology (TU/e)
- Aalborg University
- Carnegie Mellon University
- Delft University of Technology (TU Delft)
- Technical University of Munich
- ETH Zürich
- KU LEUVEN
- University of Antwerp
- AALTO UNIVERSITY
- Durham University
- Forschungszentrum Jülich
- Fraunhofer-Gesellschaft
- Graz University of Technology
- The University of Manchester
- Tilburg University
- University of Copenhagen
- University of Luxembourg
- University of Primorska
- AIT Austrian Institute of Technology
- Aalborg Universitet
- Abertay University
- CEA-IRIG
- CNRS
- Cluster of Excellence PRISMA++
- Cranfield University
- Fondazione Bruno Kessler
- GFZ Helmholtz-Zentrum für Geoforschung
- IMEC
- Inria, the French national research institute for the digital sciences
- Instituto de Telecomunicações
- KTH Royal Institute of Technology
- Linköping University
- Luxembourg Institute of Science and Technology (LIST)
- Manchester Metropolitan University;
- Max Planck Institute for Biological Cybernetics, Tübingen
- Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg
- Politehnica University of Timisoara
- Radboud University Medical Center (Radboudumc)
- Technical University Of Denmark
- Technical University of Denmark
- Technische Universität München
- Technological University Dublin
- The Ohio State University
- UNIVERSIDAD POLITECNICA DE MADRID
- Umeå University
- Universitatea Politehnica din Timisoara
- University of Cyprus
- University of Groningen
- University of Mainz
- University of Newcastle
- University of Southern California
- University of Twente
- University of Twente (UT)
- VUB
- Vrije Universiteit Brussel
- 48 more »
- « less
-
Field
-
be removed once the position has been filled. This fully funded PhD explores AI-native and sensing-aware wireless systems where communications and sensing are co-designed end-to-end. You will unify
-
hardware prototypes. Collaborate with interdisciplinary research teams spanning artificial intelligence, circuit design, computer architecture, and embedded systems engineering.
-
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
-
The exponential growth of computing capabilities has transformed nearly every aspect of modern society. Continuous advances in classical computer hardware architecture and semiconductor technology
-
doctoral network on quantum error correction, as a PhD candidate at TU/e, designing next-generation codes and decoders for real quantum hardware. Information Quantum computers have grown remarkably fast
-
international professional network between PhD-students, researchers and industry. Read more: https://wasp-sweden.org/graduate-school/ Project description The project focuses on the design and analysis of modes
-
have, rather than requiring costly new hardware. Working within a multidisciplinary supervisory team spanning quantum, post-quantum and classical cryptography, you’ll gain hands-on experience in an area
-
intelligence. It promotes strong Franco-Canadian collaborations and offers an ideal framework for hardware–algorithm co-design projects. The scientific organization of the PhD project will rely on close
-
power grids are increasingly exposed to cyber attacks that can cause physical damage. AI:HARDWARE uses AI to protect this infrastructure and to design hardware that is secure by design. A key challenge is
-
Responsibilities The successful candidate will conduct research in the field of hardware and software for embedded systems, specifically focusing on the design, implementation, and analysis of system software and