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.
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.
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:
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.
We look forward to receiving your online application with the following documents:
Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.
Further information about the professorship of Advanced Manufacturing at the Institute of Virtual Production can be found on our website. Questions regarding the position should be directed to Dr. Mamzi Afrasiabi via email email@example.com (no applications).
|Title||PhD Position - Multiphysics Modeling of Powder Bed Fusion Additive Manufacturing Processes with Particle Methods|
|Job location||Rämistrasse 101, 8006 Zurich|
|Published||May 14, 2021|
|Job types||PhD  |
|Fields||Materials Engineering,   Algorithms,   Parallel Computing,   Programming Languages,   Manufacturing Engineering,   Particle Physics,   Mechanical Engineering,   Mechanics,   Applied Physics,    and 1 more. Computational Engineering  |