Odborník na materiály

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.

How You'll Make an Impact

• 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.

What You Bring

• 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, including experimental data management, statistical analysis, machine learning concepts, AI-enabled materials design, and closed-loop learning approaches.
• Proven ability to translate functional strategy into technical execution by defining laboratory architectures, automation roadmaps, digital workflows, test methods, data standards, and scalable R&D processes.
• Deep technical foundation in materials characterization, structure-property relationships, degradation mechanisms, processing effects, and performance validation, preferably for high-temperature, structural, coating, alloy, or energy-relevant materials systems.
• Experience guiding interdisciplinary teams across materials science, automation, data science, software, controls, engineering, and laboratory operations, with the credibility to align senior stakeholders and technical specialists around a shared vision.
• Excellent communication, mentoring, and influencing skills, with the ability to explain complex materials and autonomous R&D concepts to technical teams, business stakeholders, and leadership audiences.

About the Team

Our Corporate and Global Functions are essential in driving the company's strategic initiatives and ensuring operational excellence across various departments, business areas, and regions. These roles support our vision to become the most valued energy technology company in the world. As part of our team, you contribute to our vision by shaping the global energy transition, partnering with our internal and external stakeholders, and conducting business responsibly and in compliance with legal requirements and regulations.

Rewards

Equal Employment Opportunity Statement

Siemens Energy and Siemens Gamesa Renewable Energy is an Equal Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.

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