Postdoc Machine Learning for Dynamic 6g Networks

il y a 3 semaines

Luxembourg Springer Nature Temps plein

**Postdoc Machine Learning for Dynamic 6G Networks Optimization**:

- Employer- University of Luxembourg- Location- Luxembourg, Luxembourg (Canton)- Salary- Negotiable- Closing date- 21 May 2024- Discipline
Engineering
Job Type
Postdoctoral
Employment - Hours
Full time
Duration
Fixed term
Qualification
PhD
Sector
Academia- You need to sign in or create an account to a job.
- Job Details
- Company

**Job Details**:
**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.

**Your Role...**
- Integrate with the SIGCOM research group and contribute to the SIGCOM on-going research projects
- 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

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

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.

**Company**:
**Vision**:
The University of Luxembourg aspires to be one of Europe’s most highly regarded universities with a distinctly international, multilingual and interdisciplinary character. She fosters the cross-fertilization of research and teaching, is relevant to her country, is known worldwide for her research and teaching in targeted areas, and becomes an innovative model for contemporary European Higher Education. Her core asset is her 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 shape society.

**Mission**:
The University of Luxembourg, a small-sized institution with an international reach, aims at excellence in research and education. In a reduced number of research fields identified by its successive strategic plans, its ambition is to b

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