PhD Position - Numerical Modeling of the Spark Plasma Sintering (SPS) of Multi-Material 3D Structures
Department of Mechanical and Process Engineering
Zurich
vor 4 Tg.

Job description

Your main contribution to this research project will be to :

  • implement the electrical field and current flow modules into our existing C++ particle-based code for SPS simulation;
  • build an electrical thermal mechanical multi-physics Finite Element (FE) model of SPS / FAST in a commercial software like COMSOL or ABAQUS;
  • validate the numerical models against experimental measurements.
  • Furthermore, you will perform Representative Volume Elements (RVE) simulations for deriving more sophisticated constitutive models of materials and interfaces at complex stress states.

    You are additionally expected to develop approaches for solving the optimal control problem and inverse problems to achieve the desired SPS-ed shape.

    Besides benchmarking and programming duties, this PhD position entails publishing high-quality journal papers, presenting at international conferences, and teaching contributions.

    This interdisciplinary research is conducted in a modern working environment within a young and highly motivated team.

    For more information :

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  • Check out a recent open-access paper using our in-house code :
  • Your profile

    You hold a Master's degree in Computational Science, Mechanical Engineering, Materials Science or another relevant subject, with an analytical mindset and strong computer skills.

    You should be a proficient computational scientist who has worked on multiphysics modeling of engineering systems, preferably using FE-commercial software like COMSOL or ABAQUS in the manufacturing domain.

    You are expected to have a proven track record of conducting research on numerical simulations of continuum mechanics systems with mesh-based and / or particle-based methods.

    Ideally, you are also familiar with RVE homogenization and computational moving interfaces using level set methods. Any relevant scientific programming experience, especially in C / C++ , is considered a big plus.

    Knowledge and experience in CPU / GPU parallel computing , especially with CUDA, are highly appreciated. Knowledge of other HPC algorithms such as MPI will be an advantage.

    You have the ability to work independently and in small cross-functional teams. Familiarity with collaborative coding and version control systems git ) is beneficial.

    Professional command of English (both written and spoken) is mandatory.

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