R&D Scientist in Machine Learning for Simulations
Core
Research Scientist developing Machine Learning applications to enhance simulation-based engineering processes for power grids.
Role type
Research Scientist (Machine Learning for Simulations)
Builds
Next-generation products and systems for power grids via ML-driven simulation pipelines
Domain
Energy industry + Machine Learning for numerical simulations
Deliverable
production ML models
Required skills
Machine learning and AI technologies, numerical simulations, surrogate model creation, ML training and inference pipelines, Python programming, CFD and power grid simulation solvers
Preferred skills
Optimization and hyper-parameter tuning, data science and visualization, software engineering (C++, C#, Java, Rust), research publication track record, project management, interdisciplinary domain knowledge (electrical, mechanical, fluid dynamics, thermodynamics)
Technologies
Python, MATLAB, Abaqus, Ansys, COMSOL, PSCAD
Responsibilities
Collaborate with global teams to solve real-world ML challenges for simulations, lead research projects on ML-based simulation improvements, develop ML-driven simulation pipelines, network with external partners (universities, startups), disseminate results in publications and patents
Seniority
Mid-to-Senior level Research Scientist