R&D Specialist in Embedded Telecommunication Systems and Artificial Intelligence / Machine Learning

Published on 05/03/2023

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Université du Luxembourg

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Research and Development specialist in embedded telecommunication systems and Artificial Intelligence / Machine Learning (m/f)

About the SnT...

SnT is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services. We play an instrumental role in Luxembourg by fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent.

We’re looking for people driven by excellence, excited about innovation, and looking to make a difference. If this sounds like you, you’ve come to the right place!

Your Role...

The University of Luxembourg is seeking to hire a highly motivated and an outstanding engineer in the area of (i) AI / ML and (ii) embedded systems for wireless communication, to work on the recently EU (Horizon Europe) granted project AVATAR (digitAl twin for transformatiVe Air vehicle with ioT sensors towards sAfeR skies). AVATAR aims at designing, creating and testing a Digital Twin model/system to continuously monitor the operation of transformative air vehicles (TAV) through an innovative smart IoT sensing skin, informed by accurate physical models and advanced analytics, resulting in reduced direct operative costs, extended service life and safer skies. In this context, one of the main project axes that will be investigated is the data transfer within the air-vehicle as well as their processing for predicting the remaining useful life (RUL) of the aircraft.

The successful RnD specialist candidate will be supporting the SnT research groups involved in AVATAR when it comes to implementation tasks/activities, and particularly (i) SERVAL research group in the implementation and testing of AI/ML-based Digital Twin models for aircraft predictive maintenance purposes; (ii) SIGCOM research group in the implementation and testing of intra-air vehicle communication system (for data transfer). The RnD specialist will thus evolve in an interdisciplinary environment, and is expected to be autonomous and a conductive member of the SERVAL and SIGCOM.

The successful candidate is expected to perform the following tasks:

  • Investigation of wireless communication protocols for intra-avionics systems

- Optimal protocol to transfer the collected sensor data to air vehicle central processing unit

- Integrate and test the selected protocol hardware and software components into an end-to-end testbed

  • Implementation and testing of ML techniques to process the received sensor data atair-vehicle central processing unit (Edge processing)

- Remaining Useful Life (RUL) prediction

- Reduction of data to be transferred tothe cloud on ground

  • Contributing to the dissemination of the research results.
  • Collaborate in ongoing ESA, European, and national projects.
  • Assisting in the organization of relevant workshops and demos.

 Your Profile...


Qualification: The candidate should possess a MSc degree in Computer science or Electronics/Electrical/Telecommunications Engineering with an experience of accomplishment in the area of Embedded Systems for Wireless Communications and Machine Learning/Data Science.

Experience: The ideal candidate should have knowledge and experience in the following topics:

  • ML/AI experience especially with resource constrained systems
  • Knowledge of Communications and Networking protocols (LoRA, ZigBee, IEEE 802.11, TCP/IP,…)
  • Interest in combining theory and experiments and well-developed analytic skills
  • Strong programming skills in Python, MATLAB, C/C++
  • Experience of working with industrial projects is highly desirable
  • Highly committed, excellent team-worker, and strong critical thinking skills
  • Excellent written and verbal communication skills in English

Here’s what awaits you at SnT...

  • Exciting infrastructures and unique labs. At SnT’s two campuses, our researchers can take a walk on the moon at the LunaLab, build a nanosatellite, or help make autonomous vehicles even better
  • The right place for IMPACT. SnT researchers engage in demand-driven projects. Through our Partnership Programme, we work on projects with more than 55 industry partners
  • Be part of a multicultural family. At SnT we have more than 60 nationalities. Throughout the year, we organise team-building events, networking activities and more

In Short...

  • Contract Type: Fixed Term Contract 24 Month
  • Work Hours: Full Time 40.0 Hours per Week
  • Location: Kirchberg
  • Job Reference: UOL05549

How to apply...

Applications should include:

Curriculum Vitae including: 

  • Contact address
  • For each degree received or currently enrolled in, provide the degree, institution name, institution city and country, and start date and date (or expected date) of graduation
  • Name, affiliation and contact details of three referees

  • Cover letter with motivations and topics of particular interest to the candidate (approx. 1 page)

All qualified individuals are encouraged to apply.

Early application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by Email will not be considered.

The University of Luxembourg embraces inclusion and diversity as key values. We are fully committed to removing any discriminatory barrier related to gender, and not only, in recruitment and career progression of our staff.

About the University of Luxembourg...

University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The University was founded in 2003 and counts more than 6,700 students and more than 2,000 employees from around the world. The University’s faculties and interdisciplinary centres focus on research in the areas of Computer Science and ICT Security, Materials Science, European and International Law, Finance and Financial Innovation, Education, Contemporary and Digital History. In addition, the University focuses on cross-disciplinary research in the areas of Data Modelling and Simulation as well as Health and System Biomedicine. Times Higher Education ranks the University of Luxembourg #3 worldwide for its “international outlook,” #20 in the Young University Ranking 2021 and among the top 250 universities worldwide.


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R&D Specialist in Embedded Telecommunication Systems and Artificial Intelligence / Machine Learning

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R&D Specialist in Embedded Telecommunication Systems and Artificial Intelligence / Machine Learning

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