PhD position on Physics-Guided Digital Twin Development

Equal opportunity is an important part of our personnel policy. We would therefore strongly encourage qualified women to apply for the position.

• *Your tasks**
• development of physics-guided machine-learning models for composition-process-structure-property relationships in magnesium alloys
• combination of crystal plasticity, phase-field, precipitation, and machine-learning approaches into a unified digital twin framework
• implementation of simulation and machine-learning workflows in Python (e.g. PyTorch, Scikit-Learn, etc.)
• incorporation of experimental microstructure and texture characterization data obtained from optical microscopy, SEM, EBSD, XRD, and mechanical testing
• investigation of uncertainty quantification and explainable artificial intelligence methods (XAI) for materials modeling
• validation of computational predictions in collaboration with experimental and modeling researchers
• publication and presentation of scientific results in leading international journals, conferences, and workshops
• active contribution to the establishment of next-generation ICME and digital-twin methodologies for sustainable lightweight materials design
• *Your profile**
• master's degree in mechanical engineering, materials science, computational engineering, physics, applied mathematics, data science, or a related discipline
• strong interest in computational materials science, digital twins, and machine learning
• good programming skills in Python
• experience with machine-learning methods and common scientific Python libraries is desirable
• knowledge of computational mechanics, finite element methods, crystal plasticity, phase-field modeling, or thermodynamic simulations is advantageous
• experience in analysis of experimental materials-science data is beneficial
• ability to work independently as well as within an interdisciplinary research team
• strong analytical and problem-solving skills
• highly proficient in spoken and written English
• motivation to conduct high-quality research at the interface of materials science, mechanical engineering, and artificial intelligence
• *Our offer**
• an exciting and varied job in a research centre with around 1,000 employees from more than 60 nations
• an International Welcome Office with guest accommodation
• 6 weeks holiday per year; company holidays between Christmas and New Year's Day
• social benefits under the collective agreement for the German public sector and remuneration up to pay grade 13 (EntgO Bund)
• very good work-life balance; options for mobile and flexible working
• a well-connected research campus, good networking opportunities, a subsidized Deutschlandticket (job ticket) subject to certain conditions, and charging facilities for electric vehicles
• individual opportunities for training and development
• an excellent technical infrastructure and modern workplace equipment
• PhD Buddy Program
• a family-friendly working environment with childcare options, e.g. a daycare center close to the workplace
• workplace health promotion programmes, e.g. an Employee Assistance Program (EAP)
• corporate benefits
• a varied offer in the canteen on campus

Schwerbehinderte und diesen gleichgestellte behinderte Personen werden bei gleicher Qualifikation und Eignung im Rahmen der gesetzlichen Bestimmungen bevorzugt berücksichtigt.

Bitte bewerben Sie sich mit Ihrem vollständigen Bewerbungsprofil (Lebenslauf, Motivationsschreiben, sonstige Referenzen) über unsere Karriereseite.

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Source: Statistisches Bundesamt (Destatis), table; dl-de/by-2-0; StarIn's calculation

Posted Oct 30, 2026

Posted Oct 23, 2026