[Switzerland] Empa - PhD candidate in the field of Computational Fluid Dynamics (CFD) simulations
PhD Scholarships
Empa - the place where innovation starts
Empa is the research institute for materials science and technology of the ETH Domain and conducts cutting-edge research for the benefit of industry and the well-being of society.
For strengthening our research activities in the Vehicle Energy Technologies Group regarding remote sensing, we are looking for a
PhD candidate in the field of Computational Fluid Dynamics (CFD) simulations
The ReMoVeS project will employ roadside stationary remote sensing (RSD) measurements of NOx concentrations in the wake flow in the downstream of moving vehicles. These measurements are planned in different measurement sites in Switzerland. Based on the RSD measurements, exhaust gas concentrations in the wake of different vehicles will be compared, however, there do not exist any correlations with the emissions in the tailpipe of each individual vehicle. The new PhD tendered herewith aims in analyzing the distribution of a specie in the wake flow downstream of a vehicle. The simulations should enable the association of the specie concentration as measured by the RSD in the vehicle wake with the concentration in exhaust tailpipe. Numerical simulations of the air flow around the moving vehicle and the diffusion effects of pollutants in this environment will deliver substantial understanding of the dilution physics and the main impacting parameters and dependencies. These simulations should be tuned by a selective validation through experiments and measurements.
The activities of the 3-years limited position include
CFD simulations of the wake flow in the downstream of a moving vehicle
Identification of correlations between the species concentrations in the vehicle wake flow and those in the tailpipe
Matching of the simulation results with remote sensing and PEMS measurements
Data evaluation and cooperation in scientific publications
Requirement Profile
Master degree in mechanical engineering (or similar)
Sound knowledge and comprehension in Computational Fluid Dynamics
engineer cfd
12:47PM - 04 Jun, 2020[Switzerland] Empa - PhD candidate in the field of Computational Fluid Dynamics (CFD) simulations
PhD ScholarshipsEmpa - the place where innovation starts
Empa is the research institute for materials science and technology of the ETH Domain and conducts cutting-edge research for the benefit of industry and the well-being of society.
For strengthening our research activities in the Vehicle Energy Technologies Group regarding remote sensing, we are looking for a
PhD candidate in the field of Computational Fluid Dynamics (CFD) simulations
The ReMoVeS project will employ roadside stationary remote sensing (RSD) measurements of NOx concentrations in the wake flow in the downstream of moving vehicles. These measurements are planned in different measurement sites in Switzerland. Based on the RSD measurements, exhaust gas concentrations in the wake of different vehicles will be compared, however, there do not exist any correlations with the emissions in the tailpipe of each individual vehicle. The new PhD tendered herewith aims in analyzing the distribution of a specie in the wake flow downstream of a vehicle. The simulations should enable the association of the specie concentration as measured by the RSD in the vehicle wake with the concentration in exhaust tailpipe. Numerical simulations of the air flow around the moving vehicle and the diffusion effects of pollutants in this environment will deliver substantial understanding of the dilution physics and the main impacting parameters and dependencies. These simulations should be tuned by a selective validation through experiments and measurements.
The activities of the 3-years limited position include
CFD simulations of the wake flow in the downstream of a moving vehicle
Identification of correlations between the species concentrations in the vehicle wake flow and those in the tailpipe
Matching of the simulation results with remote sensing and PEMS measurements
Data evaluation and cooperation in scientific publications
Requirement Profile
Master degree in mechanical engineering (or similar)
Sound knowledge and comprehension in Computational Fluid Dynamics
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