Materials Expert

"We energize society" by supporting our customers to make the transition to a more sustainable world, based on innovative technologies and our ability to turn ideas into reality. With nearly 100,000 employees around the world, we shape the energy systems of today and tomorrow.

As a Materials Expert in our innovation organization, your day will focus on creating novel, automated research environments that transform how advanced materials are designed, synthesized, tested, and evaluated for the energy industry. You will help establish and scale self-driven laboratories that combine AI-based materials design, robotic and automated experimentation, high-throughput characterization, data science, and closed-loop learning to accelerate discovery and reduce the time from concept to validation.

In this role, you will shape the technical vision for autonomous materials R&D while also guiding the practical execution needed to turn that vision into robust laboratory capabilities, workflows, and decision-making processes. The ideal candidate is a recognized master in materials science with extensive experience in laboratory automation, data-driven research methods, and R&D process development. You will advise on self-driven lab concepts, define functional strategy, and guide interdisciplinary teams across materials science, automation, data science, software, controls, and engineering.

By connecting deep materials expertise with autonomous experimentation and scalable research processes, you will help Siemens Energy build a capability that strengthens innovation, de-risks technology development, and supports the future of sustainable, reliable, and affordable energy.

• Lead the development of novel, automated research environments that enable advanced materials to be designed, synthesized, tested, characterized, and evaluated with increasing levels of autonomy.
• Shape self-driven laboratory concepts by connecting materials science expertise with laboratory automation, robotics, high-throughput experimentation, data science, and AI-based materials design.
• Define and guide closed-loop R&D workflows that integrate experimental planning, automated execution, data capture, analysis, learning, and decision-making to accelerate materials discovery and validation.
• Translate strategic objectives into practical laboratory architectures, automation roadmaps, digital workflows, test methods, and scalable R&D processes that can be deployed across energy technology programs.
• Guide interdisciplinary teams across materials science, automation, data science, software, controls, engineering, and laboratory operations to move concepts from early ideation to robust technical execution.
• Apply deep materials science mastery to identify high-value use cases, define experimental priorities, interpret complex data, and ensure autonomous systems generate technically meaningful and actionable results.
• Establish standards for data quality, experimental traceability, safety, compliance, and reproducibility so automated research environments operate reliably and deliver trusted outcomes.
• Build a future-ready, Materials capability that strengthens innovation, reduces development risk, and accelerates materials solutions for sustainable, reliable, and affordable energy.

• PhD in Materials Science, Materials Engineering, Metallurgical Engineering, or a closely related technical discipline, with recognized expertise in advanced materials research, characterization, processing, and performance evaluation.
• Established reputation as a materials science expert, with demonstrated ability to define technical direction, influence R&D strategy, and provide authoritative guidance on complex materials challenges relevant to energy technologies.
• Extensive experience creating, modernizing, or scaling research laboratory environments, including automated experimentation, high-throughput workflows, robotic or programmable test systems, and digitally connected laboratory infrastructure.
• Strong understanding of data science applications in materials R&D,…