CAMPUSTECH s.r.o.

About the Role

We are seeking a skilled Power System Modelling Engineer / Software Developer to join our team and contribute to the full lifecycle of power system modelling, simulation, and analysis projects. You will focus primarily on steady-state and dynamic power system simulations, network analysis, grid integration studies, and power flow calculations, while also engaging in data handling, scripting, automation, and toolchain development.

This role combines deep power systems expertise, analytical thinking, and software development skills to deliver high-quality modelling results and technical insights for our clients across the European energy sector.

Key Responsibilities

• Lead and participate in the design, implementation, testing, and analysis of power system models using commercial tools such as PSS/E (Siemens) or DigSilent PowerFactory, and open-source tools such as PyPSA, PyPowSyBl, or pandapower.
• Perform load flow, contingency analysis, short-circuit calculations, dynamic simulations, and grid stability assessments to support transmission and distribution system planning.
• Develop and maintain automated workflows, data pipelines, and scripting tools (Python) to support power system modelling and simulation processes.
• Conduct grid integration studies for renewable energy sources, including hosting capacity analysis, voltage regulation, and protection coordination.
• Collaborate with client teams (TSOs, DSOs) to ensure accuracy and consistency in network data collection, validation, and model maintenance.
• Communicate modelling results, methodologies, and assumptions clearly to both technical and non-technical stakeholders.
• Contribute to technical documentation, reports, and presentations.

Required Qualifications & Experience

• 2–7 years of relevant professional experience in power system modelling and simulation.
• 2+ years of hands-on experience with at least one commercial power system simulation tool (PSS/E, PowerFactory, ETAP, PowerWorld) or open-source equivalent (PyPSA, PyPowSyBl, pandapower).
• Proficiency in Python for scripting, automation, and power system analysis workflows.
• Solid understanding of power system fundamentals: load flow, fault analysis, dynamic stability, voltage regulation, and protection systems.
• Strong skills in data handling, processing, and visualization of network and simulation data.
• English language proficiency at B2 level or higher.
• MSc degree in Electrical Engineering, Power Engineering, Power Systems, or related field.

Desirable Skills & Assets

• Experience with PSS/E automation (Python/IPLAN) or PowerFactory DPL/Python scripting.
• Knowledge of CIM/CGMES data exchange standards and network model interoperability.
• Familiarity with European grid codes, ENTSO-E methodologies, and TSO/DSO operational frameworks.
• Experience with market modelling tools such as PLEXOS or Antares is a plus.
• Knowledge of optimization theory and mathematical programming (LP, MILP).
• Proficiency in R for statistical analysis or simulation post-processing.
• Familiarity with Git or other version control systems.
• Ability to translate customer requirements into actionable modelling tasks and deliverables.
• Experience in applying AI tools to support programming and analytical work.
• Strong communication and teamwork skills, with the ability to meet deadlines.

About the Role

We are seeking a skilled Energy System Analyst / Software Developer to join our team and contribute to the full lifecycle of energy system modelling and simulation projects. You will focus primarily on market modelling of European energy markets, power system optimization, capacity expansion planning, cost-benefit analysis, and economic assessment of infrastructure investments, while also engaging in data handling, visualization, and automation development.

This role combines technical expertise in energy market fundamentals, analytical thinking, and software development skills to deliver high-quality modelling results and insights for our clients across the European energy sector, including TSOs, regional coordination bodies, and European institutions.

Key Responsibilities

• Lead and participate in the design, implementation, testing, and analysis of energy market models using tools such as Antares Simulator (including Antares Xpansion for capacity expansion studies).
• Develop and maintain data management, automation, and market modelling pipelines to support large-scale European energy system studies (e.g., TYNDP, IoSN, regional adequacy assessments).
• Conduct economic evaluations, cost-benefit analyses, and scenario-based simulations to support infrastructure investment decisions and cross-border interconnector assessments.
• Prepare and maintain input datasets for market models, including demand profiles, generation portfolios, fuel prices, renewable time series, and transmission capacities.
• Collaborate with client teams (TSOs, regional groups, European bodies) to ensure accuracy and consistency in data collection, validation, and central dataset maintenance.
• Communicate modelling results, methodologies, and assumptions clearly to both technical and non-technical stakeholders through reports, presentations, and steering group meetings.
• Contribute to technical documentation, methodology descriptions, and quality assurance of project deliverables.

Required Qualifications & Experience

• 2–7 years of relevant professional experience in energy system modelling, market analysis, or power system planning.
• 2+ years of proven experience in market modelling and economic analysis of energy systems.
• Proficiency in Python for modelling, simulation, data processing, and automation.
• Solid understanding of European energy market fundamentals: merit order dispatch, zonal pricing, cross-border exchanges, adequacy assessment, and capacity mechanisms.
• Strong skills in data handling, processing, and visualization of large-scale energy datasets.
• English language proficiency at B2 level or higher.
• MSc degree in Electrical Engineering, Power Engineering, Energy Economics, Computer Science, or related field.

Desirable Skills & Assets

• Experience with PLEXOS for energy market modelling, production cost simulation, or capacity expansion planning.
• Knowledge of open-source energy modelling tools such as PyPSA, Calliope, or OSeMOSYS, and the ability to benchmark or cross-validate results across platforms.
• Familiarity with Antares Simulator and Antares Xpansion for adequacy studies and optimal investment modelling.
• Knowledge of optimization theory and mathematical programming (LP, MILP) as applied to energy system planning.
• Understanding of European regulatory frameworks: ENTSO-E methodologies (TYNDP, ERAA, IoSN), CBAM, EU Green Deal targets, and network development processes.
• Proficiency in R for statistical analysis or simulation post-processing.
• Familiarity with Git or other version control systems.
• Ability to translate customer requirements into actionable modelling tasks and deliverables.
• Experience in applying AI tools to support programming and analytical work.
• Strong communication and teamwork skills, with the ability to meet deadlines and work effectively in multi-stakeholder project environments.