PhD Position in Meshless Metal Cutting Simulations

ETH Zurich is offering PhD position in computer science. There is no application deadline for this position.

The Institute of Machine Tools and Manufacturing (IWF) is looking for a new PhD candidate to support the development of a numerical software tool to simulate metal cutting processes. new position.The Metal cutting processes remains one of the most important, if not the most important, manufacturing process in any developed nation. Thus, it is of utmost importance to be able to predict the outcome of such processes and to gain insight into the underlying physics. Computer simulation is a valuable tool for both mentioned purposes. Current simulation models are hampered in their efficiency because they rely on classical FEM paradigms, which require constant remeshing in the face of the extremely large deformations encountered during metal cutting. Therefore, a novel simulation tool using meshfree methods was implemented at IWF. This PhD position is concerned with extending this tool with novel features, ranging from advanced material models to cutting edge numerical methods.

You will be working on an open-source, cutting edge meshless solver used to produce the most high resolution meshless metal cutting simulations to date. Your main responsibility will be improve the numerics and algorithms in the current code and futher drive the paralellization efforts on graphics processors. Work is done in a modern working environment in a small but highly motivated team. The position is full time with 100% employment. Besides programming duties the position also includes preparing publications for high quality international journals, outreach at conferences and teaching efforts.

The succesful candidate has a Master’s degree in Computer Science, Computational Science, Physics, Engineering or a comparable field and is a proficient programmer with a record of long time relevant programming experience, especially in C++. Furthermore, the candidate is fluent in english and has a solid mathematical foundation. It would be beneficial if the candidate could also demonstrate knowledge in GPGPU programming (especially CUDA), or alternatively other parallel programming paradigms. Knowledge in meshless methods, especially Smoothed Particle Hydrodynamics (SPH) or in other numerical methods to solve Partial Differential Equations (PDEs) would be highly appreciated. Finally, it would also be advantageous if the candidate could show a background in (nonlinear) continuum mechanics.


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