Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Curtin University
- SciLifeLab
- NTNU - Norwegian University of Science and Technology
- Technical University of Denmark
- ;
- Cranfield University
- DAAD
- KNAW
- La Trobe University
- Nature Careers
- Technical University of Munich
- Vrije Universiteit Brussel
- ; Cranfield University
- ; Swansea University
- ; The University of Manchester
- Chalmers University of Technology
- Friedrich Schiller University Jena •
- Ghent University
- Hertie School •
- ICN2
- Linnaeus University
- Ludwig-Maximilians-Universität München •
- Lulea University of Technology
- University of Cambridge
- University of Göttingen •
- University of Münster •
- University of Southern Denmark
- 17 more »
- « less
-
Field
-
, C., Tcherniak, D. (2022). On Explicit and Implicit Procedures to Mitigate Environmental and Operational Variabilities in Data-Driven Structural Health Monitoring. In: Cury, A., Ribeiro, D., Ubertini
-
improves the performance of ROMs, making them more applicable to real-time structural health monitoring, vibration analysis, and control design. This research offers real-world impact across several
-
are looking for a highly motivated and skilled PhD researcher to work on structural surrogates of offshore wind foundations through graph-based machine learning. Our goal is to perform full-structure
-
fibre-optic sensing technologies and structural health monitoring Skills in data processing and numerical tools such as MATLAB or Python A high level of motivation, intellectual curiosity, and the ability
-
deep learning. The purpose of this scholarship is to support a PhD student to contribute to the advancement of infrastructure monitoring technologies with strong industry collaboration. Student type
-
on the development of self-sensing fiber-reinforced cementitious composites (SS-FRCMs) for the dual purpose of structural strengthening and real-time health monitoring of infrastructure. The research is structured
-
AI-Driven Digital Twin for Predictive Maintenance in Aerospace - In Partnership with Rolls-Royce PhD
system health monitoring, and more efficient maintenance planning. Digital twins offer a powerful foundation but must evolve beyond simulation to truly support engineering decisions. This PhD will develop
-
(£19,237 for 2024/25). The proposed project addresses significant health and safety concerns in the UK construction sector, where workers are more prone to suffer with emotional stress, mental tiredness, and
-
(mobile app) intervention for the prevention and management of performance-related pain among musicians. The app will contain various components including self-monitoring, physical exercises, relaxation
-
research infrastructure. Selected candidates will benefit from the ICN2 PhD Programme, which comprises a structured training path with scientific seminars, and technical and transferable skills training