Siemens Energy

• Development and execution of a digital-first AI-based materials discovery strategy across end-to-end workflows
• Design and integration of advanced AI/ML models, multi-scale simulations, and physics-based approaches
• Creation of digital material twins and simulation pipelines from data generation to validation
• Implementation of closed-loop learning between modeling, simulation, and experimental validation
• Leadership of interdisciplinary teams and cross-functional collaboration across R&D, IT, and business
• Translation of scientific insights into scalable applications, innovation roadmaps, and external partnerships

• Completed PhD or Master’s degree in Materials Science, Engineering, Physics, Computer Science, or a related discipline
• Extensive experience in R&D or engineering with focus on computational materials science and simulation
• Strong expertise in AI/ML methods and large-scale data processing in HPC environments
• Solid understanding of multi-scale modeling and integration of computational and experimental approaches
• Experience in industrial R&D, innovation programs, and cross-functional team leadership
• Excellent communication skills in English combined with strategic thinking, stakeholder alignment, and a proactive, analytical mindset

At Siemens Energy, we are more than just an energy technology company. With ~100.000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation.

Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.      

• In addition to an attractive remuneration package in line with the market, you can expect an attractive employer-financed company pension scheme
• We also offer the opportunity to become a Siemens Energy shareholder
• We offer our employees the opportunity to work flexibly and remotely, and our inspiring offices provide space for collaboration and creativity
• The professional and personal development of our employees is very important to us. We provide them with the opportunities to learn and develop in a self-determined way, various attractive programmes and learning materials are available for this purpose
• In relation to the "compatibility of family and work", we have a wide range of offers, e.g. flexible working time models, childcare places at many locations, the possibility of trial part-time work or even a sabbatical