Develop and validate approaches for design space exploration, performance prediction, reliability assessment, and system-level optimization of power electronic converters.
Build AI-assisted simulation pipelines to accelerate engineering workflows (e.g., automated parameter tuning, model calibration, model order reduction, anomaly/fault detection), integrating ML frameworks with MATLAB/Simulink, PSCAD, and/or PLECS.
Support component selection, reliability assessment, and scalability improvements for power electronic systems
Partner with local Power Electronics teams in Kraków to ground AI solutions in practical converter and controller design challenges, and with local ML/AI teams to scale robust, reusable methods.
Collaborate with global research teams and business units to identify high-impact opportunities and translate engineering pain points into user-focused tools and scalable workflows.
Work with external partners (universities, research institutes, startups, and industry consortia) to advance joint research initiatives and validate novel approaches.
Disseminate results through technical reports, patent applications, and scientific publications.
Ensure compliance with applicable external and internal regulations, procedures, and guidelines.
Your Background
Ph.D. (preferred) or M.Sc. with strong relevant industrial research experience in Electrical Engineering with focus on Power Electronics, Control Systems, Computer Science, or a related field.
Solid foundation in power electronics and control (e.g., MMCs, grid-connected converters) and familiarity with system-level performance and validation considerations.
Hands-on experience applying AI/ML techniques (e.g., supervised/unsupervised learning, optimization, surrogate modelling, reinforcement learning, Bayesian methods) to engineering or physical system problems.
Proficiency in Python and familiarity with ML frameworks (e.g., PyTorch, TensorFlow) and scientific computing libraries.
Experience with simulation and modelling tools used in power electronics such as MATLAB/Simulink, PSCAD, and/or PLECS, and an ability to connect data-driven methods with physics-based models.
Demonstrated ability to bridge theory and practice through prototyping and validation in simulation and/or lab environments.
Excellent communication skills in English, with the ability to convey complex technical ideas to both specialists and non-specialists.
Strong analytical problem-solving mindset and enthusiasm for multidisciplinary, collaborative R&D.
More About Us
At Hitachi Energy, we recognize that our people are at the heart of our success. We are committed to providing a supportive and inclusive workplace, competitive rewards, and opportunities for professional and personal growth. Our benefits package is designed to help employees thrive both at work and in their personal lives.
Our benefits offering for this role generally includes
Private medical care and life insurance
Access to fitness and wellness programs
Access to benefits platform with discounts and perks
Employee Capital Plans (PPK)
Equipment for working from home or allowances for setting up a workplace at home
Spectacles and contact lenses allowance
Company events and team‑building activities
Psychological support program
Free parking available
Add if applicable: additional benefits may apply depending on the role, grade, and business requirements.
You will receive more specific information during the recruitment process.
Accessibility and reasonable accommodation
Qualified 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 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.
