You will be working as part of DRIVEN Doctoral Training Unit (DTU) funded by the FNR PRIDE scheme. The Computational and Data DRIVEN Science DTU will train a cohort of 19 Doctoral Candidates who will develop data-
driven modelling approaches common to a number of applications strategic to the Luxembourgish Research Area and Luxembourg’s Smart Specialisation Strategies.
DRIVEN will build a bridge between state-of-the-art data driven modelling approaches and particular application domains, including Computational Physics and Engineering Sciences, Computational Biology and Life Sciences, and Computational Behavioural and Social Sciences.
Research Direction :
Additive manufacturing e.g. selective laser melting (SLM), also known as 3D printing, has only recently emerged as one of the most promising technology for manufacturing structures of virtually any shape.
After preparation of the powder bed a laser melts the powder, that solidifies to build the final part. In order to gain a deeper insight into these processes and underlying physics, versatile simulation technologies such as XDEM (), CFD, phasefield and Monte-
Carlo methods are applied to understand the influence of many governing parameters e.g. temperature or printing velocity on the final quality of the final part.
Your lead supervisor will be Prof Bernhard Peters. Further supervision will be provided by Prof. Andreas Zilian.
Job description :
Your primary tasks as a DRIVEN fellow are to :
Gender policy :
UL strives to increase the proportion of female PhD students in its faculties. Therefore, we explicitly encourage women to apply.