Location:
Krakow Lesser Poland Poland
Job ID:
R0093642
Date Posted:
Company Name:
HITACHI ENERGY POLAND SP. Z O.O.
Profession (Job Category):
Engineering & Science
Job Schedule:
Full time
Remote:
No
Job Description:
For our research center in Krakw 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 simulationsaiming 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.
Your Requirements
- Masters 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.
In addition the following skills would be beneficial for the role:
- 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
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