Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- ;
- Cranfield University
- Ghent University
- NTNU - Norwegian University of Science and Technology
- Technical University of Munich
- Utrecht University
- DAAD
- Technical University of Denmark
- ; The University of Manchester
- Chalmers University of Technology
- SciLifeLab
- University of Southern Denmark
- Leibniz
- Queensland University of Technology
- University of Copenhagen
- ; Swansea University
- Curtin University
- Monash University
- University of Groningen
- University of Nottingham
- University of Twente
- ; Newcastle University
- ; University of Birmingham
- Aalborg University
- Erasmus University Rotterdam
- Forschungszentrum Jülich
- Fraunhofer-Gesellschaft
- Susquehanna International Group
- Swinburne University of Technology
- University of Sheffield
- ; Cranfield University
- ; University of Sheffield
- ; University of Surrey
- ; University of Warwick
- Empa
- Swedish University of Agricultural Sciences
- Umeå University
- University of Antwerp
- University of Cambridge
- University of Luxembourg
- University of Oslo
- University of Utah
- ; City St George’s, University of London
- ; The University of Edinburgh
- ; University of Greenwich
- ; University of Oxford
- ; University of Reading
- ; University of Southampton
- AALTO UNIVERSITY
- Abertay University
- Leiden University
- Linköping University
- Luxembourg Institute of Socio-Economic Research (LISER)
- Purdue University
- UiT The Arctic University of Norway
- University of Bergen
- University of British Columbia
- University of Newcastle
- University of Tübingen
- Vrije Universiteit Brussel
- Wageningen University and Research Center
- Østfold University College
- ; Aston University
- ; Loughborough University
- ; Technical University of Denmark
- ; University of Cambridge
- ; University of Exeter
- ; University of Nottingham
- ; University of Plymouth
- ; University of Sussex
- AIT Austrian Institute of Technology
- Ariel University
- Arizona State University
- Brookhaven Lab
- CEA
- CSIRO
- CWI
- Copenhagen Business School , CBS
- Helmholtz-Zentrum Geesthacht
- ICN2
- Institut Pasteur
- La Trobe University
- Leipzig University •
- Lulea University of Technology
- Max Planck Institute for Meteorology •
- Max Planck Institute for Sustainable Materials •
- Mälardalen University
- NHH Norwegian School of Economics
- National Institute for Bioprocessing Research and Training (NIBRT)
- Norwegian Meteorological Institute
- Norwegian University of Life Sciences (NMBU)
- Radboud University
- Technische Universität Berlin •
- The University of Alabama
- The University of Iowa
- Universiti Teknologi PETRONAS
- University of Bremen •
- University of California Davis
- 89 more »
- « less
-
Field
-
modelling and simulation of transmission and distribution networks, including benchmarking data models, developing optimal power flow algorithms, and creating state estimation and multi-energy optimisation
-
: Computational Modelling: Employing simulation tools (e.g., GEANT4, light transport) to explore novel metamaterial designs, predict performance, and optimise key parameters such as timing resolution, light yield
-
/Simulink/Python for modelling, simulation, and control design. Experience with genset systems, hybrid powertrains, or real-time control applications is highly desirable. A practical interest in system
-
response timelines. Building on this foundation, the project will apply scenario modelling and simulation techniques to investigate emergency event propagation, routing strategies, vehicle-task assignment
-
with researchers from climate physics, hydrology, sustainability science and complex systems dynamics and apply a range of different models. Starting from the recent AMOC tipping simulations performed
-
gyre (SPG) and Arctic and Antarctic sea ice cover, involving processes on smaller scales, which are often not well represented in modelling efforts focusing on the large scale tipping elements
-
components are in use. More specifically, the PhD position will look towards connecting different advanced software tools (of multi-physics and data-based models) simulating the metal AM process
-
– from the modeling of material behavior to the development of the material to the finished component. PhD Position in Machine Learning and Computer Simulation Reference code: 50145735_2 – 2025/WD 1
-
needs. While muscle imaging from well-characterised patients and transcriptomic technologies provide rich data, these remain under-utilised for predictive modelling. Using machine learning, this project
-
tasks will be to: Develop and implement machine learning models for dynamic simulations of renewable power systems Develop comprehensive guidelines for verifying and testing dynamic equivalents Integrate