Research assistant for the investigation and analysis of the damage behaviour of cast iron under high-temperature fatigue (m/f/d)

Cooperation with a research project to predict the chronological course of cracks in components from a cast iron alloy under thermomechanical fatigue stress (TMF) using the finite element method (FEM). Experimental investigations and FE simulations of damage behaviour on macroscopic and microscopic levels are to be combined in a partial task of the project. The project will be worked together with the Institute for Mechanics and Fluid Dynamics at TU Bergakademie Freiberg. Your specific tasks include: carrying out cyclic crack progress and deformation tests at high temperatures on a heat-resistant cast iron material Computer evaluation of the tests and implementation and identification of a combined deformation and damage model for high temperature fatigue Implementation of FE simulations of damage development at microstructure level and component level Perception of the exchange of information and presentation of results with or before the project partners Publication of results in referenced journals

Graduate or Master degree with above-average grades in one of the fields of physics engineering, mechanical engineering, mechanics, physics or comparable Promotion is beneficial Very good knowledge in the method of finite elements, in material mechanics, and in the numerical methods for engineers Good knowledge of experimental technology and control technology Good knowledge of programming languages, especially Python and Fortran 90 Knowledge of fracture mechanics is advantageous Very good knowledge of English and German Good communication and information behaviour, targeted and structured working, initiative/willingness to use and skills, team skills and willingness to cooperate and willingness to learn

Equal opportunities and diversity Work in national and international networks with universities, research institutions and industrial companies Attractive and modern work environment with excellent infrastructure and equipment at the latest scientific level (Labore, BAM Data Store, High-Performance Computing etc...). Attractive location A responsible, interesting and varied activity in a competent and collegial environment. 30 days for a 5-day week We offer: Access to high-quality training offers and training on digitalization topics such as programming, research data management, AI applications and machine computing in science. Networking and exchange in our interdisciplinary digitization communities as well as BAM digitalization events to develop innovative solutions together with our experts. Targeted competence acquisition in key technologies of laboratory digitization – modern programming paradigms, connection to the electronic laboratory book and development of metadata formats and ontologies – through practical learning formats such as workshops, online courses and collaborative trainings with bundled knowledge sources. Possibility to actively co-design BAM digitalization projects and to introduce own ideas for digital innovations. .