PhD Research Assistant - Characterization of Creep Behavior with Flexural Creep Tests (m/f/d)

Innovative screening of metallic high-temperature materials for the efficient determination of creep behavior by means of bending creep tests, further development of the existing bending creep device Conducting bending crimping tests on metallic high-temperature materials for accelerated characterization of creep behavior Conducting single-axis creep tests (train, pressure) and comparing the results Characterization of the microstructure property relationship with light microscopy, REM and EBSD Correlation of microstructure and creep behavior Publication of results

Graduate/Master of the Department of Materials Science, Materials Technology or cf. Completed doctorate Knowledge of mechanical behaviour and microstructure of metals and their deformation mechanisms at high temperature Comprehensive knowledge and practical experience in the mechanical testing of high-temperature materials including various methods of strain measurement Comprehensive knowledge and practical experience in microstructure characterization with light and electron microscopy (REM, EBSD) Knowledge of the finite element method is advantageous Proven publication activities in recognised international journals Very good English skills in word and writing, good German skills are advantageous Good communication and information behaviour, targeted and structured working, initiative / willingness to use and skills, team skills and willingness to cooperate, willingness to learn

Work-life balance A responsible, interesting and varied activity in a competent and collegial environment. Attractive and modern work environment with excellent infrastructure and equipment at the latest scientific level (Labore, BAM Data Store, High-Performance Computing etc...). Equal opportunities and diversity Flexible working time Mobile work Certified family-friendly working climate Job Ticket Grant 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. .