Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Cranfield University
- Technical University of Denmark
- ;
- DAAD
- ; The University of Manchester
- ; University of Warwick
- Nature Careers
- University of Sheffield
- Utrecht University
- ; Swansea University
- ; University of Surrey
- RMIT University
- ; Brunel University London
- ; Cranfield University
- ; The University of Edinburgh
- ; University of Oxford
- ; University of Sheffield
- Ariel University
- Chalmers University of Technology
- ETH Zurich
- Empa
- Ghent University
- Leibniz
- MASARYK UNIVERSITY
- Max Planck Institute for Sustainable Materials •
- Monash University
- NTNU - Norwegian University of Science and Technology
- Queensland University of Technology
- UiT The Arctic University of Norway
- Umeå University
- Universiteit van Amsterdam
- Universiti Teknologi PETRONAS
- University of Adelaide
- University of Antwerp
- University of Cambridge
- University of Copenhagen
- University of Nottingham
- 27 more »
- « less
-
Field
-
understanding of fluid dynamics and transport phenomena, along with motivation for research and scientific writing, is essential.Qualifications1) Must hold Bachelor’s degree for Master positions (CGPA > 3.3)2
-
hypothesis of the proposed research is by use of intelligent and integrated control of the input power electronics, fluid handling, and thermal control in a holistic approach, current efficiency and lifespan
-
research team. Good knowledge and experience in heat and mass transfer is essential and proficiency in the use of Computational Fluid Dynamics will be considered an advantage. The student will benefit from
-
development work at the Norwegian University of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria A knowledge of fluid dynamics is recommended. Personal
-
by using commercial software such as Ansys, Abaqus, SolidWorks, etc. Experience in computational fluid dynamics (CFD) modelling or finite element (FE) modelling; Fundamental knowledge in fluid
-
are developed, modelled and controlled. You will create novel adaptative, physics-informed models that tightly integrate thermo-fluid dynamic laws, deep learning neural networks, and experimental data. A key
-
, dynamics and process regulation, process and facility planning, unit operations, heat transmission, fluid mechanics and applied thermodynamics. The Department enjoys very close relations with international
-
of the) [map ] Subject Area: Stochastic dynamical systems Appl Deadline: 2025/06/02 11:59PM (posted 2025/04/16, listed until 2025/06/02) Position Description: Apply Position Description Join Us! Are you
-
Current modelling and simulations require either generic assumptions to be made for fluid dynamic based modelling leading to inaccuracies between modelled and experimental data or, intense
-
fluid dynamics (CFD) simulations, Finite Element Analysis, manage and execute the procurement of the build, run the aerothermal testing and process and communicate the results. The skills, qualifications