Postdoc Machine Learning for Dynamic 6G Networks Optimization

23 Mar 2024
Job Information

Organisation/Company

University of Luxembourg

Research Field

Technology » Communication technology

Researcher Profile

Recognised Researcher (R2)

Country

Luxembourg

Application Deadline

19 Apr 2024 - 08:13 (UTC)

Type of Contract

Temporary

Job Status

Full-time

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

About the SnT...

The University of Luxembourg is seeking to hire a highly motivated and an outstanding researcher in the area of optimization performance of interference-limited wireless communication systems for its Interdisciplinary Centre of Security and Trust (SnT), within the Signal Processing and Communications (SigCom) research group, led by Prof. Björn Ottersten and Dr. 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

Your Role...

• Integrate with the SIGCOM research group and contribute to the SIGCOM on-going research projects
• Identify and shortlist potential applications from the 5G wireless domain (including non-terrestrial networks) that can benefit either from: (i) continual learning, and (ii) spiking neural networks implemented in neuromorphic processors.
• Design and develop the machine learning algorithms able to provide a good performance-complexity trade-off for the identified scenarios and use cases.
• Implement a synthetic data generator to be used for testing the developed algorithms.
• Compare with state-of-the-art and conventional solutions via numerical simulations and/or HW/chipset validation.
• Disseminating results through scientific publications and conferences
• Preparing new research proposals to attract new projects
• Providing assistance in the supervision of PhD students

Your Profile...

• A PhD degree in Telecommunication Engineering, or Electrical Engineering or Computer Science/engineering with a focus on artificial intelligence.
• Experience with 5G communication systems.
• Experience with non-terrestrial networks (NTNs) is considered a plus but it is not required.
• Good knowledge of the recent trends in machine learning design, particularly:
• Continual Learning
• Neuromorphic Computing.
• International experience is desirable.
• Sound publication track record in relevant international conferences and top journals (at least one IEEE Transaction publication is mandatory):
• Strong programming skills in Python, MATLAB and LaTeX. Other languages such as Lava, Julia, C++, are desirable but not mandatory.
• Experience of working with industrial projects or public funded research 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

Find out more about us!

How to apply...

Applications, written in English should be submitted online and 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. 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.

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.

Requirements
Additional Information
Work Location(s)

Number of offers available

1

Company/Institute

University of Luxembourg

Country

Luxembourg

City

Luxembourg

Geofield

Where to apply

Website

https://www.aplitrak.com/?adid=UmVjcnVpdGluZy42NzUzNS45OTA4QHVuaXZlcnNpdHlvZmx1…

Contact

Phone

STATUS: EXPIRED