Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- Wageningen University & Research
- CNRS
- Forschungszentrum Jülich
- Tallinn University of Technology
- Chalmers University of Technology
- Cranfield University
- Delft University of Technology (TU Delft)
- Linköping University
- Medical University of Innsbruck
- Swedish University of Agricultural Sciences
- Technical University of Denmark
- University of Birmingham
- University of Twente (UT)
- Vrije Universiteit Brussel (VUB)
- Amsterdam UMC
- CEA
- Centre de Mise en Forme des Matériaux (CEMEF)
- DAAD
- ENVT INRAE
- Eindhoven University of Technology (TU/e)
- Helmholtz-Zentrum Dresden-Rossendorf
- Helmholtz-Zentrum Umweltforschung
- Institute of Physical Chemistry, Polish Academy of Sciences
- Iquadrat Informatica SL
- Itä-Suomen yliopisto
- Josep Carreras Leukaemia Research Institute (IJC)
- KU LEUVEN
- Karolinska Institutet, doctoral positions
- Lulea University of Technology
- Luleå tekniska universitet
- Luleå university of technology
- Monash University
- NIOZ Royal Netherlands Institute for Sea Research
- Nature Careers
- Sveriges Lantbruksuniversitet
- Technical University Of Denmark
- Technical University of Munich
- The Belgian Nuclear Research Centre
- UNIVERSIDAD POLITECNICA DE MADRID
- University College Cork
- University of Bergen
- University of Berne, Institute of Cell Biology
- University of Cambridge
- University of Cambridge;
- University of Exeter
- University of Southern Denmark
- 38 more »
- « less
-
Field
-
PhD MSCA - Acoustic and Ultrasound-based Predictive Maintenance Systems for Industrial Equipment Power converters are essential in numerous applications such as industry, photovoltaic systems
-
operations. The PhD will develop and implement artificial intelligence and data-driven methods for early anomaly detection, root cause diagnosis, and failure prediction on industrial systems, leveraging
-
of the complex physics governing the interaction between the heat source and the material. Additionally, it seeks to develop an efficient modelling approach to accurately predict and control the temperature field
-
predictive accuracy and prohibitively long computational times, making them unsuitable for real-time process control. Artificial intelligence (AI) models present a promising alternative by addressing
-
30th March 2026 Languages English English English The Department of Structural Engineering has a vacancy for Two PhD positions in “Micromechanics-based modelling of ductile failure in high-strength
-
, predict, and manage them remains fragmented across disciplines. The Understanding and Predicting Impacts of Climate Extremes under Global Change Doctoral Network (CLIMES DN) (https://www.climes.se/climesdn
-
Infrastructure? No Offer Description The PhD candidate will work on the development of advanced statistical and machine learning methods for time series prediction, with applications mainly in the field of traffic
-
strategic raw material (CRM) deposits within Paleoproterozoic cover sequences that overlie an Archaean basement. Existing structural models for the cover rocks predict that crustal-scale fault and shear zone
-
Paleoproterozoic cover sequences that overlie an Archaean basement. Existing structural models for the cover rocks predict that crustal-scale fault and shear zone systems extend into the basement and that structural
-
16th March 2026 Languages English English English The Department of Structural Engineering has two vacancies for SFI FAST: PhD positions in Modelling Strength and Failure in Recycled Aluminium