Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Cranfield University
- Technical University of Munich
- University of Nottingham
- Aalborg University
- Forschungszentrum Jülich
- Linköping University
- Newcastle University
- Aalborg Universitet
- Fraunhofer-Gesellschaft
- NTNU - Norwegian University of Science and Technology
- 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
- Tallinn University of Technology
- Technical University of Denmark
- University of Southern Denmark
- AALTO 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;
- 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
- TU Dortmund
- Tampere University
- University of Antwerp
- University of Birmingham
- University of Bristol
- University of Cambridge;
- University of Cyprus
- University of Pittsburgh
- University of Plymouth
- University of Siegen
- University of South Bohemia
- University of St. Thomas
- University of Twente
- Uppsala universitet
- Vrije Universiteit Brussel
- Vrije Universiteit Brussel (VUB)
- Yeshiva University
- cellumation GmbH
- 47 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
-
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
-
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
-
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
-
2 Apr 2026 Job Information Organisation/Company University of South Bohemia Research Field Computer science Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Application
-
algorithms that can tightly integrate physical hardware, sensors, and computational models. This PhD position is centered on addressing these challenges through innovative computational methods, combining
-
Northeastern University London Fully Funded PhD Scholarship in Computer Science Hardware-Software Co-Design for Efficient AI in IoT and Networked Systems Funded PhD Project (UK or International
-
a focus. Traditionally, this is done through iterative algorithms (‘trial and error’). In this project, we aim to develop a radically different approach where the correct shape is computed using a 3-D