Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- NTNU Norwegian University of Science and Technology
- CNRS
- Forschungszentrum Jülich
- NTNU - Norwegian University of Science and Technology
- Tallinn University of Technology
- Technical University of Munich
- Aalborg Universitet
- Aalborg University
- DAAD
- Delft University of Technology (TU Delft)
- ETH Zürich
- Eindhoven University of Technology (TU/e)
- Fundació Privada I2CAT
- Fundació per a la Universitat Oberta de Catalunya
- IMDEA Networks Institute
- ISEP - INSTITUTO SUPERIOR DE ENGENHARIA DO PORTO
- Imperial College London
- Iquadrat Informatica SL
- Itä-Suomen yliopisto
- KU LEUVEN
- Linköping University
- Nature Careers
- University of Leeds
- University of Twente (UT)
- University of Vienna
- 15 more »
- « less
-
Field
-
13 Mar 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Computer Science Research Field Computer science Researcher Profile
-
10th April 2026 Languages English English English The Department of Computer Science has a vacancy for a PhD Candidate in Edge AI Accelerator Design Apply for this job See advertisement This is NTNU
-
Germany Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
-
Is the job funded through the EU Research Framework Programme? Horizon 2020 Is the Job related to staff position within a Research Infrastructure? No Offer Description IQUADRAT INFORMATICA S.L. (IQU
-
may be considered if you can document that you are particularly suitable for a PhD education. You must meet the requirements for admission to the faculty's Doctoral Programme (https://www.ntnu.no
-
that enable modern smart applications ranging from Edge AI, fog/edge/cloud computing, reliable software and autonomous systems, to smart energy, smart infrastructure and industrial automation. With over 25
-
if you can document that you are particularly suitable for a PhD education. You must meet the requirements for admission to the faculty's Doctoral Programme (https://www.ntnu.no/studier/phet) You must
-
technologies such as IoT, big data, analytics, computer vision, cloud computing, and artificial intelligence (AI). IoT devices help in data collection. Sensors plugged in tractors and trucks as well as in fields
-
and clinical MR systems fully dedicated to research, state-of-the-art local and scalable cloud-based compute infrastructure (CPU, GPU) and workshops for mechanical, electrical and electronic development
-
distribution infrastructures, and heterogeneous networks and storage environments based on Cloud based services, CDNs and Edge Computing. This complex chain of delivery has negative implications