R&D Scientist in Machine Learning for Simulations

For 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.

Your Responsibilities

• Collaborate 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.
• Propose, 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.
• Take a multidisciplinary approach to combine Machine Learning with numerical simulations, exploring and applying ML technologies to increase simulation efficiency.
• Working 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.
• Network in the company and actively distribute your knowledge and expertise.
• Collaborate with local and global external partners including universities, open-source communities, startups and vendors.
• Disseminate your results in scientific publications, patent applications, and technical reports.

• Master's or PhD degree or equivalent industrial experience in Computer Science, Applied Mathematics, Engineering or any related field.
• Experience 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.
• Practical experience with designing, implementing, optimizing and running Machine Learning training and inference pipelines, ideally for industrial applications.
• Understanding 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.).
• Programming experience with relevant Python packages.
• Willingness to mix conceptual activities with hands-on work.
• Willingness to take an interdisciplinary approach, working with experts from domains away from own area of expertise.
• Experience that demonstrates your team-oriented, innovative, and strategic working styles
• Fluency in English, both written and spoken.

• Knowledge and experience spanning multiple disciplines (e.g., electrical, mechanical, fluid dynamics, thermodynamics).
• Experience with optimization and model hyper-parameter tuning.
• Experience in data science and visualization of data.
• Programming experience (e.g. Python, C++, C#, Java, Rust), including software engineering.
• Proven track record of publishing research in reputable scientific journals and conferences.
• Experience in managing research projects, including planning, execution, and reporting.
• Strong communication skills to effectively present research findings to both technical and non-technical audiences.
• Knowledge and experience with products and systems for power grids, green energy and related fields