Siemens Energy

• Definition and deployment of self-driven lab architectures for streamlined materials development
• Integration of AI-based material design with automated synthesis and testing for enhanced efficiency
• Design of robotic and parallel experimentation workflows for rapid material innovation
• Establishment of closed-loop optimization between machine learning models and lab execution for continuous improvement
• Management of large volumes of experimental and sensor data ensuring FAIRness and traceability
• Continuous improvement of machine learning models through experimental feedback and bridging of digital predictions with physical validation and scale-up to ensure real-world impact

• Completed PhD or Master’s degree in Materials Science, Engineering, Physics, or a related discipline
• Extensive hands-on experience in R&D or engineering environments
• Deep expertise in materials synthesis, characterization, and advanced testing techniques
• Demonstrated experience with automation, robotics, and high-throughput experimentation
• Strong foundation in AI/ML and data-driven approaches to optimization and process improvement
• Extensive experience in closed-loop or self-driven lab environments, coupled with strong leadership and communication skills across technical and business domains

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