Temporary contract | 14+22 (+12) months | Belval-Luxembourg

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 PhD candidate to undertake research in the area of cognitive networking for 5G/6G networks, with a focus area on connected and autonomous mobility.

This research will explore how artificial intelligence can be used to develop networks capable of self-learning and self-optimisation, adapting to real-time changes in traffic and demand. The successful candidate will contribute to designing solutions that optimise the interaction between network exposure and resource allocation.

In this context, your main focus will be to:

-        Investigate network exposure mechanisms related to 5G core network functions and network slicing.

-        Develop advanced AI/ML algorithms and data analytics techniques to automate and optimise exposure requests, adapted to available resources and real-time demand.

-        Propose and implement innovative solutions to enable seamless operation in connected and autonomous mobility use cases.

-        Validate research outcomes through a combination of high-fidelity simulations and collaboration on real-world test cases with industry stakeholders.

-        Disseminate research findings through publications in leading conferences and top-tier journals.

This PhD position offers a unique opportunity to collaborate closely with both academic researchers and industry experts, with a strong emphasis on real-world applications. Working alongside a mobile network operator, you will have the chance to contribute to the development of future 5G and 6G technologies, ensuring direct industrial impact from your research.

Is Your profile described below? Are you our future colleague? Apply now!

Education

Master's degree (Bac+5) in telecommunications, computer science, or a related field, with an interest in AI, cognitive networks, or connected vehicles.

Experience and skills

Prior experience with network automation, resource optimisation, or 5G/6G networks would be a plus.

An interest in developing AI-driven solutions for real-time, adaptive network environments.

Language skills

• Good proficiency in both written and spoken English. French or Luxembourg language skills would be an advantage but are not required.

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.

This PhD thesis will be done in the context of a collaboration between LIST and Proximus Luxembourg. In this context, please note that by applying you consent to share your application with Mr Julien BAUDOUIN, Innovation Manager, from Proximus Luxembourg.

PhD additional conditions:

Supervisor at LIST: Dr. Sébastien Faye (sebastien.faye@list.lu)

Work location: Luxembourg Institute of Science and Technology (LIST), Belval, Luxembourg

PhD enrolment: University of Luxembourg, Belval, Luxembourg

Candidates shall be available for starting their position in Q1 2025. Please note that university enrolment fees (currently 200 EUR per semester) must be covered by the successful applicant.

Your master diploma must be recognized in Luxembourg. Please refer to:

https://www.uni.lu/en/admissions/diploma-recognition/

https://guichet.public.lu/fr/citoyens/enseignement-formation/etudes-superieures/reconnaissance-diplomes.html