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 the Intelligent and Clean Energy Systems (ICES) research unit and contribute to NCER-D2ET, Luxembourg’s national energy digital platform initiative. Your work will focus on the techno-economic analysis and planning of energy infrastructures, including electricity transmission and distribution networks, gas networks and thermal systems, with particular emphasis on energy communities and their operational management. You will develop models and digital applications connecting energy infrastructures, community assets and market mechanisms within the digital twin platform.
You will be mainly in charge of:
- Developing and applying techno-economic models to assess investment and operational options for electricity transmission and distribution networks, including gas networks and thermal systems.
- Developing models for the configuration, sizing and techno-economic assessment of energy communities and distributed energy systems, integrating renewable generation, battery storage, electric vehicles, heat pumps and district heating.
- Designing and implementing energy management systems (EMS) for community operation, including energy sharing and allocation, flexibility services, and participation in electricity markets.
- Modelling and optimizing local energy markets, peer-to-peer trading and transaction settlement mechanisms, considering pricing, incentives and the allocation of costs and benefits among participants.
- Translating community governance arrangements, operational rules and regulatory requirements into digital representations and constraints for simulation and optimization.
- Developing and implementing digital ontologies and interoperable data models representing energy systems, assets, services and transactions, in collaboration with data scientists and IT engineers.
- Integrating models and advanced analytical functionalities into the digital twin platform, working with datasets, APIs and cloud environments to support scenario analysis, planning and operational decision-making.
- Documenting and communicating methodologies and results through scientific publications, technical reports and project deliverables.
Is Your profile described below? Are you our future colleague? Apply now!
Education
- PhD in Electrical Engineering, Energy Systems, or a closely related field, with a strong foundation in power system modelling, optimization and techno-economic analysis.
Experience and skills
- Practical experience in techno-economic modelling and analysis of energy infrastructures, particularly electricity transmission and distribution networks, including investment appraisal, network development planning and operational optimization.
- Sound knowledge of electricity markets, local energy markets and energy communities, including energy sharing, pricing, transactions and flexibility services.
- Experience in the design, deployment or operational assessment of energy communities, including EMS development, governance mechanisms and cost-benefit allocation, is highly valued.
- Proficiency in Python and scientific computing and data analysis libraries, particularly pandas and NumPy, with experience developing reusable simulation and optimization applications.
- Hands-on experience with energy system modelling and optimization tools such as PyPSA, Pyomo, PLEXOS, oemof or equivalent, and numerical solvers such as HiGHS, Gurobi, CPLEX or GLPK.
- Ability to design and run simulation scenarios assessing infrastructure investments and operational strategies, incorporating network constraints, energy prices, demand and generation profiles, regulatory requirements and technology costs.
- Familiarity with data engineering principles, structured datasets, APIs and semantic data models or ontologies supporting interoperable digital applications.
- Experience working in digital development environments, including version control, containerization and cloud-based deployment or execution of simulation and optimization services.
- Interest or experience in AI/ML methods for forecasting and optimization, or agent-based modelling of community participants and market interactions, is an advantage.
- Initiative, self-organization and a pragmatic approach to developing and validating solutions within collaborative research projects.
- Good communication and technical writing skills, with the ability to work effectively across energy, data science and IT disciplines.
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.
- As part of our recruitment process, the selected candidate might be subject to a background check in accordance with applicable laws and institutional policies. Further checks and restrictions might apply to candidates in compliance with export controls requirements
- For the purposes of the position and in accordance with applicable legislation, the successful candidate may be requested to provide a recent criminal record certificate
- This position offers a gross monthly salary between €6'094 and €6'678 paid over 13 months (€79'222–€86'814 annually) based on full‑time employment. The final salary offer within this range will be determined based on the candidate’s overall profile, qualifications and professional experience . For part‑time employment, the salary is adjusted pro rata
