Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- Cranfield University
- ;
- University of Groningen
- Forschungszentrum Jülich
- NTNU - Norwegian University of Science and Technology
- Technical University of Denmark
- Technical University of Munich
- University of Luxembourg
- Curtin University
- ; The University of Manchester
- ; University of Bristol
- Aalborg University
- DAAD
- University of Nottingham
- ; University of Warwick
- Leibniz
- University of Southern Denmark
- Vrije Universiteit Brussel
- ; Cranfield University
- ; Swansea University
- ; Technical University of Denmark
- ; The University of Edinburgh
- ; University of Birmingham
- ; University of Nottingham
- ; University of Reading
- ; University of Southampton
- Chalmers University of Technology
- Linköping University
- Lulea University of Technology
- Queensland University of Technology
- Susquehanna International Group
- Temple University
- The University of Iowa
- University of Twente
- ; Saarland University
- ; University of Greenwich
- ; University of Sheffield
- Abertay University
- CISPA (at University of Stuttgart)
- CWI
- Empa
- Erasmus University Rotterdam
- Ghent University
- Harper Adams University
- Heidelberg University
- Helmholtz-Zentrum Geesthacht
- La Trobe University
- Ludwig-Maximilians-Universität München •
- MASARYK UNIVERSITY
- Monash University
- National Institute for Bioprocessing Research and Training (NIBRT)
- National Research Council Canada
- RMIT University
- Radboud University
- SciLifeLab
- Swedish University of Agricultural Sciences
- Umeå University
- University of Adelaide
- University of Alabama, Tuscaloosa
- University of Arkansas
- University of California Los Angeles
- University of Cambridge
- University of Central Florida
- University of Newcastle
- University of Oslo
- University of Oxford
- University of Sheffield
- Utrecht University
- Wageningen University and Research Center
- 60 more »
- « less
-
Field
-
characteristics Honest, reliable and resilient Motivated and enthusiastic about research work Able to draw up goals and strive to reach them Able to complete started tasks Able to work both independently and in
-
failure mechanisms. The performance of the developed methods will be evaluated using real operating data. In addition, it will be investigated how reliability and safety conditions can be taken into account
-
, the internal workings of deep neural networks remain largely mysterious, posing a significant challenge to the interpretability, reliability, and further advancement of these models. This project seeks deep
-
are unpredictable, e.g., unanticipated changes in the environment of the ACPS may cause a neural network to produce faulty outcomes that could endanger the safety of the system. To assure the safe and reliable
-
uncertainty from environment perception and your own state estimation, and then integrating it into a newly developed trajectory and behavior planner. The goal is to enable safe, reliable and highly dynamic
-
This PhD project will focus on developing, evaluating, and demonstrating an intelligent solution of diagnosis and prognosis for rotating machinery to enhance safety, reliability, maintainability and
-
international) scientific exchange -Loyal, reliable and committed team -Numerous opportunities for professional and interdisciplinary training (e.g. soft-skill seminars) -Modern working environment and
-
The research in this doctoral opportunity will develop a failure model that can represent the combined effect of surface and bending failures in gears to perform reliable health prognostics. Lack
-
, unknown correlation, and other useful information for diagnosis and prognosis solutions which leads to enhance reliability, maintainability and readiness of the selected system. Big Data analytics has
-
this research is that it should be possible to significantly improve the performance of extreme learning and assure safe and reliable maintenance operation by integrating this prior knowledge into the learning