Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- Chalmers tekniska högskola
- KTH Royal Institute of Technology
- Lunds universitet
- Mälardalen University
- University of Lund
- Chalmers University of Techonology
- Fureho AB
- Nature Careers
- School of Business, Society and Engineering
- Umeå universitet stipendiemodul
- 1 more »
- « less
-
Field
-
research in design and optimization of turbomachinery, reactive fluid dynamics, multi-phase and turbulent flows, innovative technologies for biomass conversion, neural network systems, and artificial
-
fluid dynamics and heat transfer to study multiphase flow phenomena. The goal is to integrate theoretical and experimental fluid dynamics with modern computational tools to analyze and predict multiphase
-
the Department of Energy Sciences. At the division, we conduct research in various fields, including research in design and optimization of turbomachinery, reactive fluid dynamics, multi-phase and turbulent flows
-
flow, fluid dynamics, and sustainable energy systems. The research focuses on developing new methods to study and model multiphase flows as key phenomena in energy and industrial processes. The work
-
methods in fluid dynamics and heat transfer to study multiphase flow phenomena. The goal is to integrate theoretical and experimental fluid dynamics with modern computational tools to analyze and predict
-
are of relevance to RFB electrodes as they offer novel possibilities to tailor characteristics, particularly in the through-thickness direction. The PhD supervision will be held at the Fluid Dynamic division
-
related field involving fluid/structure dynamics. The successful candidate is expected to: Independently develop scientific concepts and methods. Have strong programming skills, with proven experience in
-
: Dynamics, Fluid Dynamics, Vehicle Safety, Vehicle Engineering & Autonomous Systems, Combustion and Propulsion Systems, Marine Technology and Maritime Studies. The seven divisions conduct fundamental and
-
the assessment criteria: A good ability to develop and conduct high quality research. Teaching skills. Other qualifications: Experience from computational fluid dynamics (CFD) modeling, preferable in openFOAM
-
of the model predictions. Validation and evaluation of the RFBs with optimized hierarchical electrodes. Research environment The position will be open at the Fluid Dynamic division of the Mechanical and