R&D Scientist in Power Grid Reliability & Stability Modelling (Power Systems)

TL;DR

R&D Scientist in Power Grid Reliability & Stability Modelling (Power Systems): Developing mathematical models and simulation frameworks for modern power systems with an accent on renewable energy integration and grid stability. Focus on creating numerical simulations and integrating physical models with AI and Machine Learning to optimize the energy transition.

Location: Hybrid from Kraków, Poland (1-2 days per week from the office)

Salary: 1000 - 1360 PLN/day

Company

hirify.global is a Polish professional services company providing highly specialized IT and engineering experts to global technology leaders driving carbon-neutral energy transitions.

What you will do

• Lead R&D initiatives to build mathematical models and simulation frameworks for assessing the reliability and stability of modern power systems.
• Develop and validate numerical simulations for power systems with increasing levels of renewable and distributed energy resources.
• Combine physical and mathematical power system models with emerging technologies such as optimization methods, Machine Learning, and AI.
• Collaborate with international researchers, engineers, and external stakeholders including universities and research institutions.
• Present and disseminate research results through technical reports, scientific publications, and conference contributions.

Requirements

• PhD or equivalent doctoral degree in Electrical Engineering, Control Systems, Automation, Power Systems, or a related technical discipline.
• Hands-on experience in developing mathematical and analytical models for electrical power systems.
• Practical experience with simulation platforms such as PSCAD, DIgSILENT PowerFactory, ATP, MATLAB/Simulink, or comparable tools.
• Programming skills in Python and at least one other language (e.g., C++, C#, Java, Rust).
• Fluent English communication skills, both written and spoken.
• Ability to work in a hybrid model based in Kraków, Poland.

Nice to have

• Experience applying Machine Learning or AI techniques to simulation-driven engineering.
• Knowledge of High Performance Computing (HPC) environments and performance optimization.
• Expertise in using mathematical models for optimization, decision-making, or advanced control.
• Broader software engineering expertise in architecture, testing, and system design.

Culture & Benefits

• Flexible work organization.
• International work environment with daily use of English.
• Opportunity to work on cutting-edge technologies supporting the global energy transition.
• Regular integration meetings within the Jit community.