Fixed term contract | Belval | 24 Months
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.
Do you want to know more about LIST? Check our website: https://www.list.lu/
How will you contribute?
We are seeking a highly motivated postdoctoral researcher to join the Distributed and Intelligent Connectivity (DISCO) research group and contribute to applied research at the interface between 5G/6G networking, AI and digital twins, with a particular emphasis on energy efficiency. The work targets more energy-efficient mobile communication networks - particularly within the Radio Access Network (RAN) - while preserving service quality. The role also supports the development of AI-enabled network orchestration, as well as digital-twin-assisted planning for future IoT and 6G systems.
You will be mainly in charge of:
• Contributing to the design of strategies to reduce mobile network energy consumption, with a strong focus on the RAN and clear service-quality constraints
• Leveraging Network Digital Twinning and what-if analysis frameworks to test and compare strategies safely, calibrate models with real data, and support scenario-based decision-making.
• Building data-driven models (e.g., forecasting, clustering/segmentation, learning-based control) using real operator-grade datasets (traffic indicators, network KPI's, configuration logs and energy measurements when available).
• Investigating and combining multiple energy-saving levers (e.g., dynamic sleep strategies, band/technology selection, configuration tuning), and quantifying trade-offs between energy savings and service impact.
• Defining and applying a robust evaluation methodology (reproducibility, sensitivity analysis, and clear reporting of gains and limitations).
• Supporting validation with real network stakeholders and existing operational interfaces, and producing actionable technical recommendations and documentation.
• Publishing results in high‑impact journals and conferences and contributing to collaborative research activities within the team.
• Supporting or leading the preparation and development of new project proposals.
• Supporting knowledge transfer and demonstration of developed solutions in real or simulated industrial scenarios.
Is Your profile described below? Are you our future colleague? Apply now!
Education
• PhD in Computer Science, Telecommunications, or a closely related field.
• Solid knowledge of mobile networks and 5G systems, with practical understanding of RAN optimization (KPI's, traffic/load dynamics, configuration parameters, coverage/capacity trade-offs). Interest in 6G is welcome.
• Interest or experience in energy efficiency of mobile networks, including energy/performance trade-offs and typical RAN levers; experience with energy metering data is a plus.
• Strong background in AI / Machine Learning for decision-making (e.g., forecasting, optimization with learning, reinforcement learning, robust or explainable models).
• Knowledge of Network Digital Twin concepts.
• Experience working with large, real-world datasets and building reproducible pipelines (data quality, missing data, bias, anonymization considerations).
Language skills
• Fluency in English is required. Knowledge of French or German is an advantage.
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 meters, 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 fulfill 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 Digital lunch vouchers
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.