Temporary contract | 24 months | Belval
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. DISCO is a multidisciplinary team dedicated to building the next generation of intelligent, distributed, and programmable connectivity systems. The successful candidate will conduct research at the intersection of AI and networking, contributing to advanced architectures and intelligent, sustainable connectivity solutions for 6G and beyond.
You will work primarily on exploring the use of unlicensed spectrum to enable intelligent, energy-efficient and reliable 6G connectivity in industrial environments. More specifically, you will be in charge of:
Conducting advanced research on next‑generation wireless networks, with a focus on high‑performance and reliable communication over unlicensed spectrum.
Designing and evaluating adaptive Medium Access Control (MAC) and network‑layer protocols to enhance performance in shared spectrum environments.
Developing AI‑driven methods for real‑time interference prediction and adaptive network behaviour.
Exploring multi‑technology (multi‑RAT) integration of emerging wireless systems (e.g. Wi‑Fi 6E/7/8, Ultra‑Wide Band) to support ultra‑reliable, low‑latency, and massive IoT services.
Implementing energy‑efficient and sustainable networking solutions for Industry 5.0 environments.
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.
Strong background in wireless communications and networking
Background in AI and machine learning is an advantage.
Experience and skills
Knowledge of random-access protocols (e.g. IEEE 802.11 family).
Understanding of multi‑radio systems, interference management, and energy‑efficient network design.
Familiarity with machine learning applications in communications, including neural networks and federated learning.
Experience in network simulation and modelling tools (e.g. ns‑3, OMNeT++, MATLAB, Python) is an advantage.
Practical experience in prototyping or testbed experimentation is an advantage.
Soft skills
Strong analytical and problem‑solving mindset.
Capacity to work both independently and collaboratively within multidisciplinary teams.
Excellent communication and scientific writing skills in English.
Motivation to contribute to cutting‑edge research in intelligent and sustainable connectivity.
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 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
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.