We are looking for a highly qualified PhD-level specialist with strong theoretical and practical expertise to develop advanced algorithms for real-world challenges in electrical systems and power networks. This role focuses on bridging cutting-edge research with practical implementation, particularly in the context of digital substations, measurement technologies, and power system performance.
The ideal candidate will contribute to the development of innovative, market-oriented solutions by designing, modeling, and validating algorithms using advanced simulation tools such as MATLAB.
Requirements
- PhD in Electrical Engineering, Power Systems, Applied Mathematics, or a related field
- Strong theoretical background combined with hands-on experience in algorithm development
- Proven experience with MATLAB for modeling, simulation, and validation
- Solid understanding of power systems, including grid structure, measurement, and protection principles
- Knowledge of power quality and electricity standards is a strong advantage
- Ability to move from theory to implementation efficiently and effectively
- Strong analytical thinking and problem-solving skills
Responsibilities
- Develop, optimize, and implement algorithms addressing real market needs in electrical and power systems
- Design and perform simulations (primarily in MATLAB) to validate models and system performance
- Translate complex theoretical concepts into practical, scalable engineering solutions
- Support product development by integrating algorithmic solutions into measurement and analysis systems
- Collaborate with R&D and cross-functional teams to ensure alignment with market and product requirements
- Contribute to research-driven innovation in areas such as power quality, grid performance, and digital substations
What we offer
- Direct cooperation with the already successful, long-term, and growing project.
- Flexible work arrangements.
- Collaborative and supportive team culture.
- Truly competitive salary.
- Help and support from our caring HR team.