R&D Scientist in Power Grid Reliability & Stability Modelling

Our Client is an established global technology leader driving the digital transformation and innovation required to accelerate the transition toward a carbon-neutral future. Serving customers across the utility, industry, and infrastructure sectors, they provide cutting-edge solutions and services across the entire energy value chain. The organization is actively evolving the worlds energy systems to make them more sustainable, flexible, and secure, while precisely balancing social, environmental, and economic value. With a proven track record and an unparalleled installed technological base spanning well over 100 countries, the company operates on a massive global scale.

Jit Team employs over 770 experienced experts and offers developmental projects, benefits, and a proprietary professional development programme. They support various charitable and educational activities in Poland and contribute to local initiatives.

• PhD or equivalent doctoral degree in Electrical Engineering, Control Systems, Automation, Power Systems, or related technical discipline.
• Hands-on experience developing mathematical and analytical models for electrical power systems.
• Proven background designing, executing, and evaluating numerical simulations for power system studies.
• Practical experience with power system modeling and simulation platforms such as PSCAD, DIgSILENT PowerFactory, ATP, MATLAB/Simulink or comparable tools.
• Programming skills beyond Python, e.g., in C++, C#, Java, Rust, or similar languages.
• Track record of collaborative work, innovation, and strategic contribution in multidisciplinary teams.
• Commitment to continuous learning, research excellence, and professional growth.
• Fluent English communication, both written and spoken.

Nice to have:

• Experience applying Machine Learning or Artificial Intelligence techniques in simulation-driven engineering and analysis.
• Knowledge of High Performance Computing (HPC) environments and performance optimization for simulations.
• Experience using mathematical power system models for optimization, decision-making, or advanced control.
• Broader software engineering expertise including architecture, testing, development practices, or system design.

• Lead and contribute to research and development of mathematical models and simulation frameworks assessing reliability and stability of modern power systems with renewable and distributed energy resources.
• Collaborate with international teams of researchers and engineers to solve complex challenges using modeling, simulation, and analytical methods.
• Generate and evaluate innovative ideas for numerical simulations, transforming concepts into validated prototypes with business value.
• Develop solutions combining physical and mathematical power system models with optimization methods, Machine Learning, and Artificial Intelligence.
• Apply multidisciplinary simulation studies using industry-standard tools and develop new simulation algorithms and methodologies.
• Act as subject matter expert sharing knowledge and promoting best practices across teams.
• Cooperate with external stakeholders including universities, research institutions, open-source communities, technology vendors, and startups.
• Present and disseminate research results via technical reports, scientific publications, conferences, and intellectual property activities.