Research Scientist - Complex Systems Modelling for Reliability (f/m/d)

Hitachi Automotive Systems Americas, Inc.; Baden; Vor Ort; CHF 140.000 - 180.000; Vollzeit

Zusammenfassung

Hitachi Energy Ltd. is seeking a Scientist in Reliability Modelling to advance RAMS-based system-level modelling for large-scale power grids. You will bridge component physics with system performance, integrating data-driven and physics-based methods across global teams.

You will lead RAMS, RBD, FTA, and Monte Carlo studies, contribute to reliability-centric maintenance concepts, and publish findings in journals while coordinating with partners and universities.

Qualifikationen

• Expertise in system-level reliability modelling RAMS, RBD, FTA, Monte Carlo, and stochastic methods.
• Experience in reliability engineering for complex, high-reliability systems.
• Strong communication and collaboration across global teams.

Aufgaben

• Drive RAMS modelling and lifecycle optimization of power grid components and systems.
• Develop data-driven decision support and reliability-twin concepts under uncertainty.
• Collaborate with international researchers and engineers to solve industrial challenges.
• Disseminate results via publications, patents, and technical reports.

Kenntnisse

RAMS modelling

RBD/FTA

Monte Carlo

Stochastic modelling

Data-driven decisions

Ausbildung

PhD in Electrical Engineering

Jobbeschreibung

Location:Baden-Daettwil, Aargau, SwitzerlandJob ID:R0135370Date Posted:2026-07-01Company Name:HITACHI ENERGY LTDProfession (Job Category):Engineering & ScienceJob Schedule:Full timeRemote:NoJob Description:The opportunityAt Hitachi Energy Research, we are shaping the energy systems of tomorrow. As the power grid evolves into a complex, digital “system of systems” integrating renewable energy, power electronics, and distributed assets, ensuring long-term reliability and availability becomes a central challenge.We are looking for a Scientist in Reliability Modelling to 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.How you’ll make an impactSystem-Level Reliability Modelling Innovation: 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 behaviorData-driven and Physics based Decision Support: 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 operationScientific Leadership Collaborate with a global and interdisciplinary team of researchers and engineers across research and business units to identify, shape, and solve impactful industrial challengesCross-Functional Collaboration: Build relationships within the company and actively share your knowledge and expertise. Interact with local and global external partners including universities, technologies and products suppliersScientific Communication & Innovation: Disseminate your results in scientific publications, patent applications, and technical reportsYour backgroundPhD in Electrical Engineering, Power Systems, Reliability Engineering, Applied Mathematics, Physics, or related fieldSystems 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 systemsFamiliarity with power grid technologies (HVDC, substations, converters) is an advantage but not strictly requiredProven track record at top scientific conferences and journal publicationsExcellent communication skills in English, team player attitude, initiative and creativityMore about usAt 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.Accessibility and reasonable accommodationQualified individuals with a disability may request a reasonable accommodation if you are unable or limited in your ability to use or access the Hitachi Energy career site as a result of your disability. You may request reasonable accommodations by completing a general inquiry form on our website. Please include your contact information and specific details about your required accommodation to support you during the job application process.This is solely for job seekers with disabilities requiring accessibility assistance or an accommodation in the job application process. Messages left for other purposes will not receive a response.Use of Al and automated tools in recruitmentAs part of our recruitment process, Hitachi Energy uses digital and automated tools, including Al-supported solutions, to assist with activities such as application screening, job matching, and interview scheduling. These tools are designed to support our recruiters and do not replace human decision-making. Candidate data is processed in accordance with applicable data protection and employment laws as well as Hitachi's Global Data Privacy Notice.Background Screening and Security ChecksAs part of the hiring process, Hitachi Energy conducts pre-employment background checks that may include verification of employment history, education, criminal records, and other relevant information, in accordance with applicable laws.For certain roles—particularly those involving access to sensitive information, financial responsibilities, client data, regulated environments, or security-sensitive functions—additional or more comprehensive background or security screenings may be required. These may include, but are not limited to, enhanced criminal history checks, credit history reviews (where legally permissible), sanctions screening, or other due diligence measures aligned with the responsibilities of the position.The scope and depth of any background or security review will be determined based on the nature of the role and business necessity, and will always be conducted in compliance with applicable federal, state, and local laws. Candidates will be notified and, where required, asked to provide consent prior to the initiation of any such checks.