Temporary contract | 24 months | Belvaux
Are you passionate about research? So are we! Come and join us
The Luxembourg Institute of Science and Technology (LIST) is a Research and Technology Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities in their decisions and businesses in their strategies.
You will join the Intelligent and Clean Energy Systems (ICES) research unit at the Luxembourg Institute of Science and Technology (LIST) and will actively contribute to the NCER-D2ET (Data-Driven Energy Transition Digital Twin) project, a national strategic initiative to develop Luxembourg’s energy digital twin platform.
NCER-D2ET aims to design and implement an integrated, data-driven digital twin of the national energy system, capable of simulating and analyzing multi-energy infrastructures (electricity, heat, gas, hydrogen) across spatial and temporal scales. The project involves the modelling of energy infrastructures, the development of scenario-based simulations, and the generation of actionable indicators to support decision-making. You will be part of the team responsible for the infrastructure modelling domain, which serves as a technical foundation for interoperability with energy market simulations and policy evaluation tools.
Do you want to know more about LIST? Check our website: https://www.list.lu/
How will you contribute?
You will join a dynamic research team working on the development of Luxembourg’s national energy digital twin under the NCER-D2ET initiative. Your contribution will focus on the detailed modelling and simulation of power systems at transmission and distribution level, embedded in a multi-energy context that includes gas, heat and hydrogen. These activities support national-scale scenario development and help assess long-term system reliability, flexibility, decarbonization pathways and investment needs. You will ensure that power system models remain interoperable with the broader NCER-D2ET modelling ecosystem, including energy markets and policy layers.
You will be mainly in charge of:
Developing and maintaining detailed models of the Luxembourgish power system, covering both transmission and distribution networks.
Supporting the integration of electricity models within broader multi-energy frameworks (e.g. coupling with gas and thermal models).
Collaborating with senior research engineers to implement representative scenarios and simulations aligned with national transition targets.
Contributing to the definition of boundary conditions, assumptions and drivers used for policy- and market-oriented scenarios.
Assisting in the interpretation of simulation results to derive actionable insights and performance indicators (e.g. grid adequacy, emissions, cost impacts).
Working with data scientists and IT teams to ensure model compatibility with the NCER-D2ET data platform and data space architecture.
Supporting the documentation, validation and dissemination of modelling methodologies and results through reports and publications.
Is Your profile described below? Are you our future colleague? Apply now!
Education
PhD in Electrical Engineering, Energy Systems, Applied Physics, or a closely related field, with a solid foundation in the modelling and simulation of energy systems.
Experience and skills
Experience developing and running simulation models for large infrastructures for electricity and other energy vectors (gas, heat, hydrogen) using tools such as PyPSA, Calliope, Oemof, or similar.
Familiarity with power systems operation and their interaction with gas and thermal infrastructures is required.
Familiarity with energy optimization frameworks (e.g. Pyomo, PLEXOS) and solvers (GLPK, HiGHS, CPLEX, Gurobi) used in investment and dispatch planning.
Some exposure to co-simulation environments or physics-based simulators (e.g. Modelica, GridLAB-D) is appreciated.
Good programming skills in Python are essential (especially for data handling and energy system scripting); other languages like Julia or C++ are considered a plus.
Ability to prepare and execute scenario-based simulations, using inputs related to policy, regulation, technology trends or market dynamics.
Interest in data-driven methods and collaborative work with IT specialists to ensure compatibility with data platforms, ontologies and APIs.
Previous work on national energy systems, sector coupling (power-gas-heat), or transition pathways is considered an asset.
Interest or early experience in AI-based scenario generation or agent-based modelling is welcome but not required.
Self-organized, reliable, and eager to contribute to an ambitious team working at the intersection of research, innovation and policy support.
Strong communication skills, both for internal collaboration and contributions to project reports and publications.
Language skills
Fluent in English (written and spoken). Knowledge of French, German, or Luxembourgish is considered an asset.
Your LIST benefits
An organization with a passion for impact and strong RDI partnerships in Luxembourg and Europe that works on responsible and independent research projects
Sustainable by design, empowering our belief that we play an essential role in paving the way to a green society
Innovative infrastructures and exceptional labs occupying more than 5,000 square metres, including innovations in all that we do
An environment encouraging curiosity, innovation and entrepreneurship in all areas
Personalized learning programme to foster our staff’s soft and technical skills
Multicultural and international work environment with more than 50 nationalities represented in our workforce
Diverse and inclusive work environment empowering our people to fulfil their personal and professional ambitions
Gender-friendly environment with multiple actions to attract, develop and retain women in science
32 days’ paid annual leave, 11 public holidays, 13-month salary, statutory health insurance
Flexible working hours, home working policy and access to lunch vouchers
Access to state-of-the-art facilities, including the ICES RT-HIL simulation laboratory.
Collaboration opportunities with leading researchers and industry partners
Apply online
Your application must include:
A motivation letter oriented towards the position and detailing your experience
A scientific CV with contact details
List of publications
(and patents,(if applicable)Contact details of 2 references
Please apply ONLINE formally through the HR system. Applications by email will not be considered.
Application procedure and conditions
We kindly request applicants to provide their nationality for statistical purposes only, as part of our commitment to promoting diversity and ensuring equal opportunities in our workforce. This information will be kept confidential and will not be used for any discriminatory purposes.
LIST is dedicated to maintaining an inclusive work environment and is an equal opportunity employer. We are committed to attracting, hiring, and retaining a diverse workforce. All applicants will be considered for employment without discrimination based on national origin, race, colour, gender, sexual orientation, gender identity, marital status, religion, age, or disability.
Applications will be continuously reviewed until the position is filled. An assessment committee will thoroughly evaluate applications, adhering to guidelines designed to ensure equal opportunities. The primary criteria for selection will be the alignment of the applicant's existing skills and expertise with the requirements mentioned above.