Hitachi Energy AG
Research Scientist - Complex Systems Modelling for Reliability
📍 Baden-Daettwil, Aargau, Switzerland
Role and responsibilities
Drive innovation in system-level reliability modelling and lifecycle optimization of power grid components and system, large-scale power grid infrastructures, including emerging application in challenging environments to help development of sustainable energy sources and their integration to the power grid of the future. Drive the translation of innovative ideas advanced methodologies for reliability, availability, maintainability, and safety (RAMS) modelling integrating single-asset physical knowledge into modelling to represent interdependencies, redundancy, and system-of-systems behavior. Contribute to methodologies such as Reliability-Centered Maintenance and reliability twin concepts for decision-making under uncertainty with far reaching impact on GW level power systems over decades of operation. Collaborate with a global and interdisciplinary team of researchers and engineers across research and business units to identify, shape, and solve impactful industrial challenges. Build relationships within the company and actively share your knowledge and expertise. Interact with local and global external partners including universities, technologies and products suppliers. Disseminate your results in scientific publications, patent applications, and technical reports.
Team / description
At Hitachi Energy, we believe in the power of diversity and the potential of every individual. We are committed to creating an inclusive environment where everyone can thrive. Join us in shaping a more sustainable and reliable energy future.
Qualifications and Skills
PhD in Electrical Engineering, Power Systems, Reliability Engineering, Applied Mathematics, Physics, or related field
Systems thinker capable of bridging component-level physics and system-level performance. Strong expertise in system-level reliability modelling (RAMS, RBD, FTA, Monte Carlo, stochastic modelling)
Experience with complex engineering systems (energy, aerospace, automotive, or similar high-reliability domains). Including knowledge of maintenance strategies and lifecycle optimization for repairable systems
Familiarity with power grid technologies (HVDC, substations, converters) is an advantage but not strictly required
Proven track record at top scientific conferences and journal publications
Excellent communication skills in English, team player attitude, initiative and creativity