Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Delft University of Technology (TU Delft)
- Cranfield University
- CNRS
- Oak Ridge National Laboratory
- Aalborg Universitet
- Aalborg University
- Ecole Centrale de Lyon
- Eindhoven University of Technology (TU/e)
- Empa
- Forschungszentrum Jülich
- IMEC
- Inria, the French national research institute for the digital sciences
- Institute of Biochemistry and Biophysics Polish Academy of Sciences
- Loughborough University;
- Manchester Metropolitan University
- Newcastle University
- Tallinn University of Technology
- Technical University of Munich
- UiT The Arctic University of Norway
- Universidade de Vigo
- Universitat Politècnica de València
- University College Dublin
- University of Adelaide
- University of Bergen
- University of Bremen •
- University of Exeter
- University of Newcastle
- University of Surrey
- Université Toulouse Capitole
- Vrije Universiteit Brussel
- Vrije Universiteit Brussel (VUB)
- 21 more »
- « less
-
Field
-
department in the ISSA expertise center that develops advanced AI solutions involving AI models, algorithms, implementations, sensors and hardware for small scale edge up to large scale distributed and hybrid
-
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
-
on the development of new sensor concepts, their experimental characterisation, the development of suitable methodologies and systematic validation under realistic operating conditions. This includes the setup
-
—remains a critical challenge. This project will focus on designing AI-driven cognitive navigation solutions that can adaptively fuse multiple sensor sources under uncertainty, enabling safe and efficient
-
drone detection and localisation performance using radar systems. This can be achieved by improving the detection performance of individual sensors and by employing a cooperative network of sensors which
-
METATUNE-MSCA-DN – DC15_Multispectral metalenses for 3D imaging_Photonic Sensors and Algorithms SL_Spain..pdf English (139.17 KB - PDF) Download Additional Information Website for additional job details
-
sustainability. The research will delve into power-aware computing strategies, thermal management, and the development of algorithms that balance performance with energy consumption. Students will aim to create
-
Ph.D degree in electrical engineering, computer engineering, computer science, or a related discipline Demonstrated experience developing, training, and applying AI algorithms to physical sensor data
-
-sensor fusion, and propagation modeling — to develop AI-enabled detection, classification, and triangulation algorithms for critical energy infrastructure applications. This position resides within
-
sequences. Development the analysis method and algorithm. 12 to 24 months: Photothermal, photoacoustic and hotspot characterization of several nanoagents with a significantly different hotspot effect