R&D Scientist in Machine Learning for Simulations

s 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

• 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.

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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