PhD Position - Multiphysics Modeling of Powder Bed Fusion Additive Manufacturing Processes with Particle Methods

WorkplaceZurich, Zurich region, Switzerland


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PhD Position - Multiphysics Modeling of Powder Bed Fusion Additive Manufacturing Processes with Particle Methods

100%, Zurich, fixed-term

The Advanced Manufacturing Laboratory (AML) at the Dept. of Mechanical & Process Engineering (D-MAVT) at ETH Zurich develops advanced computational models alongside new manufacturing systems to overcome the limitations of today’s materials processing technologies. Part of our group is devoted to the development of novel numerical frameworks for the solution of complex problems in processing metallic materials, with a particular focus on Additive Manufacturing (AM) processes.

Project background

The main objective of this research project lies in developing high-fidelity computational models of Powder Bed Fusion (PBF) AM to generate insight into a fundamental understanding of the physics of the process. To that end, we seek a motivated a PhD candidate who can support further developments of our in-house software tool for multiphysics modeling of PBF AM processes. More specifically, you will be working on our existing C++ code, which employs state-of-the-art meshfree methods for the simulation of melt-pool dynamics, heat transfer, fluid-solid interactions, as well as microstructure evolution and residual stresses.

This position will be available as soon as possible or upon agreement; the planned project duration is 3 years.

Job description

Your main responsibility will be to implement physics-induced computational algorithms for modeling PBF processes and anchor your numerical results in experimental data. You are additionally expected to enhance the reliability and performance of the present code by, for instance, driving the parallelization efforts on graphics processors. 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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Your profile

You hold a Master's degree in Computational Science, Mechanical Engineering, Materials Science or another relevant subject, with a strong analytical background and computer skills. You are expected to have a proven track record of conducting research on computational mechanics, ideally using meshfree particle-based methods (e.g., SPH ) in the manufacturing area. You should be a proficient scientific programmer with a record of a long time relevant programming experience, especially in C/C++. Knowledge and experience in GPU computing , preferably using CUDA , are highly appreciated. Knowledge of other HPC algorithms such as MPI will be a plus. Familiarity with collaborative coding and version control systems (e.g., git) is beneficial. Professional command of English (both written and spoken) is mandatory.

ETH Zurich

ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.
Working, teaching and research at ETH Zurich

In your application, please refer to and reference JobID 52677.

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