Sort by
Refine Your Search
- 
                Listed
- 
                Category
- 
                Employer- Wageningen University & Research
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
- Eindhoven University of Technology (TU/e)
- Wageningen University and Research Center
- ARCNL
- Eindhoven University of Technology (TU/e); Eindhoven
- Eindhoven University of Technology (TU/e); yesterday published
- University of Twente
- University of Twente (UT)
- University of Twente (UT); Enschede
- Wetsus - European centre of excellence for sustainable water technology
- 2 more »
- « less
 
- 
                Field
- 
                
                
                the final morphology of the self-assembled interfacial structure. However, precise and quantitative characterization of such self-assembly dynamics has thus far proven to be a challenge due to the large 
- 
                
                
                Vacancies PhD position on the design and fabrication of MEMS drag force-based flow and fluid composition sensors Key takeaways In this project, we will combine well-known thermal flow sensing 
- 
                
                
                , or related discipline; A relevant background in fluid mechanics and experimental methods; Hands-on experience with modern experimental methods for flow measurement is preferable; Affinity for working with 
- 
                
                
                transitions, flow dynamics, stratification) inside thermal storages containing PCMs? How can we describe via validated multi-physics simulation models; heat transfer, flow behavior, and phase changes? Your task 
- 
                
                
                candidate with: A Master’s degree (or equivalent) in mechanical engineering, applied physics, or related discipline; A relevant background in fluid mechanics and experimental methods; Hands-on experience with 
- 
                
                
                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 
- 
                
                
                collaboration with DENS solutions company. Femto-Cryo will use 3D printed fluid force microscopy (FluidFM) cantilevers from TU Delft, and CryoSilico cryo-EM sample supports from DENS solutions to develop a novel 
- 
                
                
                and Innovatie (TKI) project in a public-private partnership (PPP) scheme in collaboration with DENS solutions company. Femto-Cryo will use 3D printed fluid force microscopy (FluidFM) cantilevers from TU