Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Oslo
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Nanyang Technological University
- University of Stavanger
- National University of Singapore
- Simons Foundation/Flatiron Institute
- CRANFIELD UNIVERSITY
- Silesian University of Technology
- UNIVERSITY OF SOUTHAMPTON
- UiT The Arctic University of Norway
- Aston University
- George Mason University
- Hiroshima University
- Hong Kong Polytechnic University
- NYU Shanghai
- Nature Careers
- Queen's University
- Simons Foundation
- UNIVERSITY OF SURREY
- University of Bergen
- University of Birmingham
- University of Michigan
- University of Oxford
- University of Southampton;
- 14 more »
- « less
-
Field
-
and implement computational fluid dynamics (CFD) and fire dynamics models in OpenFOAM tool for battery thermal runaway and fire propagation. • Conduct numerical simulations to investigate
-
PhD Research Fellow in ML-assisted reservoir characterization/modelling for CO2 storage (ref 290702)
Deadline 31 Dec 2025 - 23:00 (Europe/Oslo) Type of Contract Temporary Job Status Full-time Hours Per Week 37.5 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
-
mechanisms against experimental databases on combustion and emission characteristics. Develop and apply Computational Fluid Dynamics (CFD) models to investigate intermediate reaction pathways and pollutant
-
applications working on industrial related projects using high performance computing clusters would also be advantageous Strong foundation in Fluid Dynamics Strong prior experience in CFD – particularly in
-
surrogates), applications to Maxwell’s equations, fluid dynamics, multiphysics systems, quantum and control problems, and autonomous systems. Candidates whose research interests intersect with one or more of
-
post-PhD or experienced researchers in Computational Fluid Dynamics, to join our team working on renewables and low carbon technologies. About the Role You will be working with international partners
-
Mechanics and Fluid Mechanics; (c) research experience in computational fluid dynamics (CFD); and (d) experience in handling publications in the field of Fluid Mechanics. Preference will be given
-
, Fast Fourier transform, Pseudospectral method) is an advantage. Experience as a developer for a model within computational fluid mechanics/geophysical fluid dynamics (such as developing toolboxes
-
particle models, stochastic PDE and models from fluid dynamics and machine learning. What skills are important in this role? Qualification requirements: The Faculty of Mathematics and Natural Sciences has a
-
welcome applications from passionate and skilled post-PhD or experienced researchers in Computational Fluid Dynamics, to join our team working on renewables and low carbon technologies. About the Role You