PhD position on Physics-Guided Digital Twin Development for Composition-Process-Structure-Property Modeling of Magnesium Alloys

id="offer-description" class="ecl-u-type-heading-2 ecl-u-mt-none ecl-u-mb-l">Offer Description Work group: . Institute of Materials and Process Design. Area of research: . PHD Thesis. Part-Time Suitability: . The position is suitable for part-time employment. Starting date: . 15.10.2026. Job description: PhD position on Physics-Guided Digital Twin Development. Referenzcode: 1057. Arbeitsort: Geesthacht. Bewerbungsfrist: 12.11.2026. The Institute of Material and Process Design at the Helmholtz-Zentrum Hereon is offering a 4-year PhD position in the field of computational materials engineering, machine learning, and digital twins for advanced lightweight materials. The focus of the PhD project will be the development of a physics-guided digital twin framework for magnesium alloys by integrating experimental characterization, crystal plasticity, phase-field modeling, precipitation modeling, and machine learning approaches to establish quantitative composition-process-structure-property relationships. Building upon recently developed machine-learning approaches for structure-property prediction in extruded magnesium alloys, the project aims to advance toward a next-generation Integrated Computational Materials Engineering (ICME) framework capable of predicting microstructure evolution and resulting mechanical properties across previously unseen processing conditions and material states. The candidate will work closely with interdisciplinary teams combining expertise in magnesium