Our computational materials science group have been modelling solidification processes for more than 15 years. In our everyday work, this usually means setting up phase-field and phase-field crystal models which result in partial differential equations that can be solved numerically. Most often we do this by our own simulation codes that we run on our CPU or GPU-based computer clusters.
Most problems we investigate are connected to the microstructure formation during solidification, i.e., the nucleation and the subsequent crystal growth. Because of its key role in determining the final properties of the matter, understanding and controlling microstructure formation is of fundamental practical importance. The job of the PhD student to be recruited is also connected to this subject area. He/she will be involved in the work related to an EU-NKFIH project, which aims at the phase-field modelling of the microstructure formation in eutectic alloys during laser additive manufacturing (3D printing). Due to the extreme heating and cooling rates characteristic to laser melting, eutectic pattern formation takes place at an ultrafine scale, resulting in the improved mechanical properties of the solid. But, on the other hand, these conditions challenge phase-field models, which are traditionally applied to solidification problems at less extreme environments.
The successful applicant will work as part of our small team, with our CPU and/or high-end GPU clusters. We offer increased salary and the possibility of presenting his/her work in international meetings and conferences.
For further information on our group, see www.phasefield.hu
MSc in materials science or statistical physics
computer and programming skills, preferably C and/or C++, Python, CUDA or OpenCL for GPU programming
motivation and interest in the research work