{"id":172803,"url":"https://alion.io/job/hitachi-rd-scientist-in-machine-learning-for-simulations","title":"R&D Scientist in Machine Learning for Simulations","company":{"id":129,"name":"Hitachi","domain":"hitachi.com","url":"https://alion.io/company/hitachi","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":85,"open_postings":662,"ghost_share":0.006,"stale_share":0.761,"repost_share":0.014,"time_to_fill_p50_days":16,"computed_at":"2026-11-10T06:52:35Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Kraków, Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":59000,"max_usd":109000,"period":"year","method":"role_country_seniority_unknown","sample_n":267},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C#","optional":false},{"name":"C++","optional":false},{"name":"Java","optional":false},{"name":"Machine Learning","optional":false},{"name":"MATLAB","optional":false},{"name":"Python","optional":false},{"name":"Rust","optional":false}],"status":"live","first_seen_at":"2026-07-09T00:00:00Z","employer_posted_date":"2026-07-09","last_verified_at":"2026-11-11T00:38:04Z","board_verified":true,"closed_at":null,"days_open":125,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":124},"description":"Location:\nKrakow, Lesser Poland, PolandJob ID:\nR0093642Date Posted:\n2025-05-26Company Name:\nHITACHI ENERGY POLAND SP. Z O.O.Profession (Job Category):\nEngineering & ScienceJob Schedule:\nFull timeRemote:\nNoJob Description:\nThe opportunity\nFor our research center in Kraków, Poland, we are looking for a Research Scientist with expertise in Machine Learning for Simulations to enhance simulation-based engineering processes and develop future applications for power grids. You will join a dynamic, motivated and creative team with a broad range of experience and competences. As part of our team, you will combine theory with practice, creating, testing and validating new technologies to enable the energy transition.\nHow You Will Make an Impact: \nCollaborate with a global team of researchers and engineers in Hitachi Energy business units to identify and solve real-world challenges for Machine Learning (ML) application to enhance simulation-based engineering processes.\n\nPropose, contribute to and lead research projects related to ML-based improvements to numerical simulations, aiming to develop the next generations of products and systems for power grids.\n\nTake a multidisciplinary approach to combine Machine Learning with numerical simulations, exploring and applying ML technologies to increase simulation efficiency.\n\nWorking with different simulation software tools, propose and develop ideas and concepts of new approaches for ML-driven simulation pipelines, fostering simulation processes automation and optimization.\n\nNetwork in the company and actively distribute your knowledge and expertise.\n\nCollaborate with local and global external partners including universities, open-source communities, startups and vendors.\n\nDisseminate your results in scientific publications, patent applications, and technical reports.\n\nYour background:\nMaster’s or PhD degree or equivalent industrial experience in Computer Science, Applied Mathematics, Engineering or any related field.\n\nExperience with machine learning, artificial intelligence technologies, in particular in conjunction with numerical simulations. This includes creating surrogate models for simulations, increasing simulation efficiency, developing ML-driven improvements of the simulation process, making ML-based suggestions for input parameters.\n\nPractical experience with designing, implementing, optimizing and running Machine Learning training and inference pipelines, ideally for industrial applications.\n\nUnderstanding of the simulation process and the algorithms underlying simulation software solvers for CFD-type simulations (e.g., MATLAB, Abaqus, Ansys, COMSOL, etc.) and power grid simulations (e.g., PSCAD, etc.).\n\nProgramming experience with relevant Python packages.\n\nWillingness to mix conceptual activities with hands-on work.\n\nWillingness to take an interdisciplinary approach, working with experts from domains away from own area of expertise.\n\nExperience that demonstrates your team-oriented, innovative, and strategic working styles\n\nFluency in English, both written and spoken.\n\nIn addition the following skills would be beneficial for the role:\nKnowledge and experience spanning multiple disciplines (e.g., electrical, mechanical, fluid dynamics, thermodynamics).\n\nExperience with optimization and model hyper-parameter tuning.\n\nExperience in data science and visualization of data.\n\nProgramming experience (e.g. Python, C++, C#, Java, Rust), including software engineering.\n\nProven track record of publishing research in reputable scientific journals and conferences.\n\nExperience in managing research projects, including planning, execution, and reporting.\n\nStrong communication skills to effectively present research findings to both technical and non-technical audiences.\n\nKnowledge and experience with products and systems for power grids, green energy and related fields\n\nMore about us\nAt 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.\nOur benefits offering for this role generally includes:\nPrivate medical care and life insurance\nAccess to fitness and wellness programs\nAccess to benefits platform with discounts and perks\nEmployee Capital Plans (PPK)\nEquipment for working from home or allowances for setting up a workplace at home\nSpectacles and contact lenses allowance\nCompany events and team-building activities\nPsychological support program\nFree parking available\nAdd if applicable: additional benefits may apply depending on the role, grade, and business requirements.\nYou will receive more specific information during the recruitment process.\nAccessibility and reasonable accommodation\nQualified 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 ageneral inquiry formon our website. Please include your contact information and specific details about your required accommodation to support you during the job application process.\n\nThis 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.\n\nUse of Al and automated tools in recruitment\nAs 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 asHitachi's Global Data Privacy Notice.\nBackground Screening and Security Checks\nAs 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.\nFor 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.\nThe 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. 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