14 parallel-computing-numerical-methods "Institute of Computer Science" PhD research jobs at EPFL
Sort by
Refine Your Search
-
newly funded Swiss National Science Foundation (SNSF) project: “Multiscale Modelling of Cracked Reinforced Concrete: From Aggregate Interlock to Structural Assessment”. The positions are expected to
-
EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than
-
excellent Master’s-level degree in Micro-/Nanotechnology, Physics, Materials Science, Energy, or a related quantitative field A strong background in several of the following fields: reactive magnetron
-
and ice nucleating particles Data analysis of observations, numerical model output and remote sensing data Tight collaboration with the project partners and participation in working meetings Teaching
-
Mission We are offering a challenging position as a full-time (100%) PhD Student at School of Engineering - STI at EPFL. At the Laboratory for fundamental BioPhotonics - LBP we are developing
-
communications, computing, metrology, sensing or ranging. Yet, it relies on the availability of broadband tunable, narrow linewidth, and bright microwave sources that can be used to excite a high
-
Mission We are offering a challenging position as a full-time (100%) PhD Student at School of Engineering - STI at EPFL. At the Laboratory for fundamental BioPhotonics - LBP we are developing
-
, turbomachinery aerodynamics, aeromechanical design principles, experience with CFD & FEA. Materials science, particularly properties of ceramics and conventional metals/alloys, manufacturing processes
-
research at theinterface of material science and engineering applications. You will work on the Swiss National Science Foundation (SNSF)-funded project “DFabuLis: Digital FabricationUsing Living
-
PhD Student Position in Interoperable Digital Workflows for Regenerative Building Design and Perform
, and assess the transferability of the methods across REGEN4BE demonstration sites and different building, climatic and institutional contexts. As part of the doctoral thesis, you will apply and adapt