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Internship in System Development

Bruxelles, Belgium
Bruxelles, Belgium


ENTSO-E is the European Network of Transmission System Operators for Electricity. We coordinate the cross-border system operations, system development and electricity market activities of the 40 electricity transmission system operators (TSOs) which cover 36 countries. The ENTSO-E Secretariat in Brussels provides support on technical, market and policy developments for all European TSOs in their cooperation with each other, in their joint fulfilment of their legal mandates, and in the intensive interactions with EU decision-makers, regulatory agencies, associations representing network users and other stakeholders.

If you are interested in having an active role in the energy transition, you should consider joining ENTSO-E. We are a dynamic European association working on important and exciting projects of the electricity sector with the commitment to support the efforts towards a carbon-neutral power system. At ENTSO-E, you will contribute to building the world’s largest integrated electricity market – impacting not only those in the energy sector but also Europe’s overall economy, today and in the future!


Are you seeking for an internship, supporting the European energy transition and giving visibility on the next decade evolutions? Do you have electricity market background with some data analysis skills? Join our dynamic and passionate international team!

ENTSO-E offers a 6 month internship to motivated candidates with background in one or more of the following fields:

  • Data engineering;

  • Electricity systems;

  • Electricity market and/or network modelling.

The intern will enhance and apply their knowledge to contribute to the implementation of the energy transition in Europe, especially though enhancement of data management systems, adequacy studies (Seasonal OutlooksERAA (European Resource Adequacy Assessment)) and long-term studies (e.g. TYNDP (Ten Year Network Development Plan)).

The internship is based in the ENTSO-E Secretariat in Brussels. The intern will work in the Resource Adequacy team and be part of the System Development section, consisting of 30 employees. Interns are fully integrated within the section and benefit from its strong team spirit.


  • Education: preferably in electrical engineering, economics, or mathematics;

  • Experience in working with complex datasets and knowledge of Python, R, Excel/VBA or similar;

  • Knowledge of simulation and/or optimization software is a plus, ideally applied to electricity market modelling (e.g., GAMS, Plexos, Antares, BID3 or similar);

  • Fluent in English, including writing and presentation skills;

  • Enjoy collaborating in an international environment.


The candidate should:

  • Be eligible to reside in EU (meaning EU citizen or valid residence card);

  • Be a full-time student. The internship must be issued by your university as part of your studies;

  • Have a personal (also provided by university) health insurance valid for Belgium during the period of the internship;

  • Sign an internship agreement with your university and ENTSO-E;

  • Agree on exact length of the internship and schedule (full time or part time);

  • A monthly allowance of 700€ is proposed to reimburse the accommodation and commuting fees.


Please submit your complete application consisting of a motivational letter and curriculum vitae on the ENTSO-E career website. Replies will be handled in strictest confidence.

ENTSO-E is an equal opportunities employer and does not discriminate on the grounds of age, disability, marital status, gender, sexual orientation, race, religion or political beliefs.


Economic Viability Assessment in ERAA

The European Resource Adequacy Assessment (ERAA) investigates whether the electricity system has sufficient resources to meet demand in the coming decade. It is built upon models and analyses on possible events which can adversely impact the balance between supply and demand of electric power. The Economic Viability Assessment (EVA) is one of the key steps within ERAA, consisting of assessing the viability of the generating units in the system. An internship position is available on the support of EVA within a dedicated taskforce for methodological developments. The student would join the expert meetings and be involved in result analysis and market modelling.

Key contributions of the student:

  • Assessing the quality of input data, building visualization using python, excel and Tableau;

  • Contributing to model building. This involves scripting to read data from the databases and importing them into the optimization software;

  • Supporting in modelling and simulation activities, as needed;

  • Disseminating individual and collective work;

  • Analysing and presenting results.

Flow Based implementation in ERAA

In an interconnected power system such as the European system, the scope of an adequacy study should be extended by considering the supply and demand balance under a defined network infrastructure, which can have a considerable impact on adequacy results. Two methods are used to model the network in the European Resource Adequacy Assessment: Net Transfer Capacities and Flow-based Market Coupling. The former is a simplified representation of the grid, which imposes an upper constraint on the power exchanges between two bidding zones. Flow-based modelling on the other hand offers a better way to model interconnections, providing an enhanced representation of physical constraints of the grid. Preparing FB domains requires technical knowledge on both network and market modelling. Network modelling relates to physical flows in the lines, while market considers aggregated exchanges between bidding zones.

Key contributions of the student:

  • Support in building the FB domains to be used for ERAA, assessing their quality by visualization and test simulations;

  • Contributing to market model building, relating the implementation of the FB constraints. This involves scripting to read data from the databases and importing them into the optimization software;

  • Supporting in modelling and simulation activities, as needed;

  • Disseminating individual and collective work;

  • Analysing and presenting results.

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