À propos de ce poste Scientist in Power System Analysis and Optimization Algorithms (f/m/d) chez Hitachi
Location:
Mannheim, Baden-Wurttemberg, GermanyJob ID:
R0136563Date Posted:
2026-07-15Company Name:
HITACHI ENERGY GERMANY AGProfession (Job Category):
Engineering & ScienceJob Schedule:
Full timeRemote:
NoJob Description:
The opportunity
We are looking for a passionate and proficient industrial scientist with expertise in Power System Analysis and Optimization Algorithms at our Research Center in Mannheim/Germany. In an inter-disciplinary environment, you will drive cutting-edge innovation for different complex systems in power grid applications and generate technologies for future solutions.
Join our dynamic and motivated team to contribute to a sustainable energy future for all.
How you’ll make an impact
You take initiative: Collaborate with a global and inter-disciplinary team of researchers in Hitachi Energy Research to drive the development from concept to robust MVP and partner with product/software teams to bring solutions to production
You investigate: Translate real power system problems into rigorous models and design computational experiments to quantify accuracy and robustness; ensure reproducibility with versioned code and data
You collaborate: Build relationships within the company and actively share your knowledge and expertise. Interact with local and global external partners including universities, start-ups, and vendors to integrate diverse perspectives and stakeholder inputs
You communicate: Disseminate your results in scientific publications, patent applications, and technical reports. Produce clear design docs and notebooks that enable reuse
Your background
PhD in Electrical/Power Systems Engineering, Automation, Computer Science, Mathematics, or Master’s degree with equivalent industrial experience
Proven expertise in modelling and steady-state analyses of power systems (EMS and GMS applications like power flow, unit commitment, congestion management, state estimation, etc.). Knowledge of short and long-term energy and ancillary service markets would be a plus
Knowledge in mathematical optimization applied to power systems, and modern optimization techniques is strongly desired, experience with machine learning and/or artificial intelligence technologies is a plus
Proven experience in software development using programming languages Python, Matlab or C/C++, and openness to learn additional languages
Experience with state-of-the-art software engineering techniques (version control, testing, AI tools for software development) and integrating solution algorithms into applications are beneficial. High-performance computing skills such as parallel/distributed and/or GPU computing are an advantage
Excellent communication skills in English, team player attitude, motivation to learn, initiative and creativity. German language skills or willingness to acquire them is desired
More about us
At Hitachi Energy, we believe in the power of diversity and the potential of every person. We are committed creating an inclusive environment where everyone can thrive. We invite you to apply and join us in shaping a sustainable future.
Accessibility and reasonable accommodation
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Use of Al and automated tools in recruitment
As 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 Checks
As 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.
