Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Cranfield University
- Technical University of Munich
- University of Nottingham
- Aalborg University
- Forschungszentrum Jülich
- Aalborg Universitet
- Fraunhofer-Gesellschaft
- Linköping University
- Newcastle University
- Delft University of Technology (TU Delft)
- Inria, the French national research institute for the digital sciences
- Lulea University of Technology
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- Technical University of Denmark
- University of Southern Denmark
- AALTO UNIVERSITY
- Abertay University
- CNRS
- Centrale Supelec
- Eindhoven University of Technology (TU/e)
- Fundació per a la Universitat Oberta de Catalunya
- Ghent University
- Grenoble INP - Institute of Engineering
- Heidelberg University
- IMDEA Networks Institute
- IMEC
- IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava
- Imperial College London;
- Institute of Space Science-INFLPR Subsidiary
- Instituto de Telecomunicações
- King's College London
- Max Planck Institute for Intelligent Systems, Tübingen, Tübingen
- NVIDIA Denmark
- National Renewable Energy Laboratory NREL
- Nature Careers
- Nicolaus Copernicus Astronomical Center
- Northeastern University London
- Norwegian University of Life Sciences (NMBU)
- Radboud University
- Swansea University
- TU Dortmund
- Tampere University
- University of Antwerp
- University of Birmingham
- University of Bristol
- University of Cambridge;
- University of Cyprus
- University of Nottingham;
- University of Pittsburgh
- University of Plymouth
- University of Sheffield;
- University of Siegen
- University of South Bohemia
- University of St. Thomas
- University of Twente
- Uppsala universitet
- Vrije Universiteit Amsterdam (VU)
- Vrije Universiteit Brussel
- Vrije Universiteit Brussel (VUB)
- Yeshiva University
- cellumation GmbH
- 52 more »
- « less
-
Field
-
into its latest Ryzen processors, unlocking new possibilities for on-device AI acceleration. This project aims to maximise the potential of AMD’s cutting-edge hardware for healthcare computer vision
-
engines will no longer rely solely on centralised on-board computers; but will leverage distributed, multi-layered control architectures and off-board computational power to optimise performance in real
-
work — and how to design better ones. Why apply for this PhD? Work on the next-generation AI hardware beyond traditional computing architectures. Gain a unique combination of skills in mathematics
-
to deeply understand how various AI algorithms work and how to implement them efficiently on a wide range of existing and upcoming hardware. Help us push the boundaries of AI compute, collaborating with
-
This PhD opportunity at Cranfield University invites candidates to pioneer research in embedding AI into electronic hardware to enhance security and trustworthiness in safety-critical systems
-
, and space hardware. This PhD research aims to develop a comprehensive Mode Selection Framework for Reduced Order Modelling (ROM) in Structural Dynamics—using machine learning to build robust
-
or malicious inputs. Implementing and evaluating the developed methods on embedded computing platforms and hardware prototypes in collaboration with the PhD student working on the power electronics aspects
-
remain trustworthy even in the presence of disturbances or malicious inputs. Implementing and evaluating the developed methods on embedded computing platforms and hardware prototypes in collaboration with
-
), on a fixed-term contract until December 31, 2026. The position is created within the project “ISS Contribution to ALICE Physics, Computing, and Hardware – ISSconALICE.” Where to apply E-mail
-
role involves designing and integrating real-time software algorithms with robotic hardware, including perception, control, communication, and safety modules to enable safe, precise, and reliable remote