Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
metrics directly into the design loop to drive durable, resource-efficient components, validated against analytical benchmarks or experimental data. Where to apply Website https://www.jobbnorge.no/en
-
candidate in AI for marine systems design and operation, connected to the newly established Norwegian Maritime AI Centre. The position aims to advance how artificial intelligence supports design and
-
companies. The Department of Design is one of four departments in the Faculty of Architecture and Design . Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/297392/phd-candidate-in
-
to contribute to developing the next generation of risk-informed design methodologies for infrastructure exposed to natural hazards and climate change. About the project Infrastructure systems such as roads
-
research on biometric recognition, presentation attack detection, and multimodal fusion. Coordinate the research activities with the SAFE Center. Design, collect, and manage biometric datasets (face, iris
-
seeking a PhD candidate in computer architecture. The research focus of this PhD position is the design of performant and energy-efficient Edge Artificial Intelligence (AI) accelerators. Such accelerators
-
interconnected Internet-of-Energy (IoE) ecosystems. In this context, the MSCA Doctoral Network project SAILING (https://Secure AI and Digital Twin Empowered Smart Internet-of-Energy ) aims to establish a
-
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
-
in complex engineer-to-order shipbuilding. Realizing the full potential of AI is both a technical and an integrative challenge. It requires combining what AI excels at, such as pattern recognition and
-
the design of a scalable, interoperable, and resilient quantum internet architecture and protocol stack for real-world operation in hybrid quantum–classical networks across intra- and inter-domain settings