Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Sheffield
- Forschungszentrum Jülich
- ; Cranfield University
- ; The University of Edinburgh
- ; University of Birmingham
- ; University of Oxford
- Brunel University London
- CNRS
- Cranfield University
- Eindhoven University of Technology (TU/e)
- Eindhoven University of Technology (TU/e); Eindhoven
- IMT Nord Europe
- Institute of Physical Chemistry, Polish Academy of Sciences
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- National Renewable Energy Laboratory NREL
- Newcastle University
- Queensland University of Technology
- Technical University of Denmark
- University of Louisville
- University of Newcastle
- University of Paris-Saclay
- University of Pittsburgh
- University of Surrey
- Université Paris-Saclay (UPS)
- 15 more »
- « less
-
Field
-
aerospace and the technologies used to decarbonise flight The following skills are desirable but not essential: Ability to code program in Matlab Experience using CFD codes. Experience with heat transfer
-
-class honours degree or equivalent) in materials science, manufacturing, mechanical engineering, metallurgy, physics, chemistry, or related fields. Ideal candidates will be self-driven, eager to learn CFD
-
• Skilled in prototyping and experimental investigations for marine vehicles • Skilled in using mainstream CFD and autonomous system softwares (e.g. Star-CCM+, OpenFoam) • Research experience in
-
Computational Fluid Dynamics (CFD) models; data-based models determined from training/calibration data by system/parameter identification and machine learning. The key challenge is striking a balance between, on
-
capture technologies. In this project, you will: Develop a 3D Digital Model: Create an advanced computational model of high-pressure mechanical seals. Apply Computational Fluid Dynamics (CFD): Simulate gas
-
overcomes the geographic limitations of conventional systems, enabling global scalability and accessibility. Using advanced computational fluid dynamics (CFD) approaches, the project is aimed at advancing
-
degree in mechanical, chemical, or energy engineering or similar and experience in some of the following areas: Experience in Multiphysics and CFD modeling involving fluid dynamics, and electrochemical
-
applied physics other related disciplines. Demonstrated knowledge in at least one of the following areas: porous media flow computational fluid dynamics (CFD) pore-network modelling lattice Boltzmann method