Senior expert (f/m/d) for self-driven labs for materials discovery

Senior Expert (f/m/d) for Self-driven Labs for Materials Discovery

About the Role

Location Germany Berlin Berlin Remote vs. Office Hybrid (Remote/Office) Company Siemens Energy Global GmbH & Co. KG Organization SE CEO Business Unit Company Development Full / Part time Full-time Experience Level Experienced Professional A Snapshot of Your Day
Join us in revolutionizing the future of materials development! Imagine leading the charge in establishing self-driven laboratories that autonomously design, synthesize, test, and evaluate advanced materials. You will integrate AI-based material design with automated experimentation, creating a seamless workflow that accelerates innovation cycles. By leveraging closed-loop learning, you will continuously enhance digital material models for industrial energy applications, making a significant impact on our mission to drive sustainable energy solutions.How You’ll Make an Impact

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

What You Bring

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