Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- NTNU - Norwegian University of Science and Technology
- ; The University of Manchester
- Cranfield University
- Curtin University
- Ghent University
- Cornell University
- SciLifeLab
- Technical University of Denmark
- Vrije Universiteit Brussel
- ;
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Loughborough University
- ; University of Hull
- ; University of Strathclyde
- Delft University of Technology (TU Delft)
- ETH Zürich
- Forschungszentrum Jülich
- Fraunhofer-Gesellschaft
- Max Planck Institute for Sustainable Materials •
- Nature Careers
- Norwegian University of Life Sciences (NMBU)
- RMIT University
- Technical University Of Denmark
- Technical University of Munich
- The Ohio State University
- Tilburg University
- University of Amsterdam (UvA)
- University of Nottingham
- University of Sheffield
- University of South Carolina
- 20 more »
- « less
-
Field
-
. The underwater acoustic communication technologies will help. The school is focusing on research in AI/machine learning and signal processing which are the research areas in this proposed project. We have
-
publications and research experiences in structural dynamics and structural health monitoring, especially on computer vision, image processing, machine learning, deep learning, signal processing and data
-
the PhD candidate may include (non-)linear inverse load estimation and data-driven/machine learning techniques that rely on physics-informed guidance for improved robustness. A key task will be to quantify
-
relevant experience in the development and deployment of machine/deep learning models as well as the use of remote sensing data You must have relevant experience in the development of hydrodynamic and water
-
structural health monitoring, especially on computer vision, image processing, machine learning, deep learning, signal processing and data analysis techniques, are preferred. Application process To apply