Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- The University of Auckland
- Cranfield University
- ; The University of Manchester
- Technical University of Denmark
- University of Twente
- ;
- ; Cranfield University
- ; University of Aarhus
- ; University of Hull
- Chalmers University of Technology
- Crohn’s & Colitis Australia IBD PhD Scholarship
- Curtin University
- Fraunhofer-Gesellschaft
- NTNU Norwegian University of Science and Technology
- RMIT University
- Radboud University
- University of Cambridge
- University of Twente (UT)
- Uppsala universitet
- Wageningen University & Research
- 10 more »
- « less
-
Field
-
of the challenges is fault detection and diagnosis of bearings subject to low (rotational) speed. As vibration/acoustic signals generated by the faults of low-speed bearings are very weak and often covered by strong
-
hardware design, and build in fault detection and correction to ensure secure, efficient operation in space systems. The outcome will be a high-performance, fault-tolerant Falcon implementation, enhancing
-
AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
engineers detect faults earlier, track system degradation, and make better-informed maintenance decisions. But how can we turn this complex information into something reliable, explainable, and actionable
-
control system that enhances Annual Energy Production (AEP), reduces mechanical stress, and improves fault detection using machine learning (ML) and physics-based modelling. The candidate will gain hands
-
Project Title: Characterising clonal dynamics of somatic mutations in vivo for early prediction of carcinogenicity using advanced error corrected next generation sequencing Supervisor: Dr Alex Cagan
-
of Twente is looking for a highly motivated and talented PhD candidate to join our team. In this position, you will explore advanced frameworks to make complex interacting programs fault-tolerant and future
-
Autonomous methods for fault or anomaly detection and classification of PV plants with high accuracy are necessary for the monitoring of large-size PV power plants. Objectives also include other
-
Are you passionate about railways, acoustics, and data-driven infrastructure solutions? We are looking for a PhD student to join the project “A robust tool for rail fault and roughness estimation
-
implemented in real neural tissue. Importantly, there are two alternative theories on how error signals in predictive processing could be coded in neural signals: either as (1) top down signals from ‘higher
-
Science, Robotics, or similar. A background in digital twin engineering, autonomous systems, and machine learning is required. An understanding of machine learning and MLOps is desired. Fault detection, multi