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.
The University of Luxembourg is seeking to hire a highly motivated and an
outstanding researcher in the area of Artificial Intelligence, Machine
Learning and Signal Processing for Satellite Communications for its
Interdisciplinary Centre of Security and Trust (SnT), within the Signal
Processing and Communications (SigCom) research group, led by Prof. Björn
Ottersten and Prof. Symeon Chatzinotas.
SnT carries out interdisciplinary research in secure, reliable and trustworthy
ICT (Information and Communication Technologies) systems and services, often
in collaboration with governmental, industrial and international partners. SnT
is active in several national projects funded by National Research Fund
(FNR) and local industries, and international research projects funded by
the EU FP7 programme, H2020 programme and the European Space Agency (ESA).
For further information, you may check: www. securityandtrust.lu
The SigCom research group carries out research activities in the areas of
signal processing for wireless communication systems including satellite
communications and radar systems, and is currently expanding its research
activities in exploring several emerging use cases of next generation wireless
communications systems. For details, you may refer to the following:
https: // wwwen.uni.lu/snt/research/sigcom
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
The successful candidates are expected to perform the following tasks:
Analyzing and investigating methods for improving the performance and
efficiency of signal processing algorithms by using Artificial
Intelligence and Machine Learning techniques in the context of Satellite
Implementing, training and developing of AI-based algorithms in a software
Implementing and testing AI inference algorithms in GPU, FPGA and/or
commercial AI chipsets.
Disseminating results through scientific publications and conferences
The candidates are expected to actively contribute to the different
research projects, either coordinating technical contribution and/or
preparing project deliverables
Preparing new research proposals to attract industrial, national and
Providing assistance in the supervision of PhD students
A PhD degree in Telecommunication Engineering, or Electrical Engineering
or Computer Science/engineering with a focus on artificial intelligence
and wireless communications.
International experience is desirable
Sound publication track record in relevant international conferences and
Hands-on implementation and testing of AI-accelerated signal processing
with dedicated hardware (GPU, FPGA, AI chipsets: Versal AI, Jetson TX2,
Movidius Myriad, etc.)
Strong programming skills in MATLAB, C++ and HDL (VHDL, Verilog, HLS,
etc.). Other languages such as Python or JULIA are a plus
Experience of working with industrial projects or public funded research
projects is highly desirable
Highly committed, excellent team-worker, and strong critical thinking
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 45 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
Find out more about us!
Contract Type: Fixed Term Contract 24 Month - which may be extended up to
Work Hours: Full Time 40.0 Hours per Week
Job Reference: UOL04217
How to apply...
Applications in English should include:
Curriculum Vitae, including:
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. Include the title and short summary of your PhD Thesis and supervisor name (and Bachelor / Master Thesis if you did one)
If you do not have yet received your PhD but will do soon, please include a tentative graduation date
List of publications (authors, title, journal/conference name and date of publication). Provide a link in case of open access
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.
The selection process starts from 01 July 2021 on (applications will be
processed upon arrival). 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...
The University of Luxembourg aspires to be one of Europe's most highly
regarded universities with a distinctly international and interdisciplinary
character. It fosters the cross-fertilisation of research and
teaching , is relevant to its country, is known worldwide for its research
and teaching in targeted areas, and is establishing itself as an innovative
model for contemporary European Higher Education. The University`s core asset
is its well-connected world-class academic staff which will attract the most
motivated, talented and creative students and young researchers who will learn
to enjoy taking up challenges and develop into visionary thinkers able to
For further information, please contact: Dr. Jorge Querol