Postdoctoral Researcher in RF Situational Awareness
Published on 12/12/2025
Université du Luxembourg
- Luxembourg (Canton), Luxembourg
- Research & Development
About us
The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character.
The Interdisciplinary Centre for Security, Reliability and Trust (SnT) at the University of Luxembourg is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services.
We play an instrumental role in Europe by fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services & Applications.
Your role
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 program, H2020 program 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 right place!
The successful candidates are expected to perform the following tasks:
- Conduct research on RF threat modelling and vulnerability assessment for satellite communications links
- Design, implement, and evaluate AI/ML‑based algorithms for real‑time detection, classification, and localization of jamming and spoofing signals using time-frequency-space domain features extracted from I/Q data, e.g. STFT, wavelets, Wigner‑Ville
- Contribute to simulation of jamming environments in the 6GSPACE Lab using SDR/USRPs/RFSoC boards, generating synthetic training datasets and extracting robust features for SIGINT and spectrum‑monitoring pipelines
- Develop and integrate TDOA/FDOA‑based geolocation methods into RF situational‑awareness workflows for interference source localization
- Participate in field data‑collection and validation campaigns, adapting models to real‑world data and assessing their robustness and real‑time feasibility
- Support the design and assessment of anti‑jamming and counter‑interference strategies, including AI‑enabled mitigation and multi‑connectivity/link‑diversity schemes for resilient satellite communications links
- Publish results in leading international journals and conferences and contribute to project deliverables and the technology roadmap for future anti‑jamming capabilities
For further information, please contact: Dr. Jorge Querol ()
Your profile
- A PhD degree in Telecommunication Engineering, Electrical Engineering, Computer Science, or a closely related field, with a focus on wireless communications, RF signal processing, and/or applied machine learning
- Strong background in digital communications and RF signal processing, ideally with experience in SATCOM, NTNs, or space-borne SIGINT / spectrum monitoring applications
- Demonstrated experience in at least one of the following: interference / jamming detection and classification, spectrum monitoring and I/Q data analysis, TDOA/FDOA‑based localisation or DOA estimation, design of ML models for time‑series or signal data
- Excellent programming skills in Python and/or MATLAB for signal processing and ML. Familiarity with libraries such as NumPy, SciPy, PyTorch or TensorFlow
- Experience with C/C++ and GPU/accelerator platforms is an asset
- Hands‑on experience with software‑defined radio platforms, RF measurement equipment, or laboratory testbeds is highly desirable
- Previous involvement in collaborative or publicly funded research projects
- A solid publication record in relevant IEEE conferences or journals will be considered a strong asset
- High level of autonomy, strong analytical and critical‑thinking skills, and the ability to work effectively in a multidisciplinary and multicultural team with industrial partners
- Fluency in English is required
We offer
- Multilingual and international character. Modern institution with a personal atmosphere. Staff coming from 90 countries. Member of the "University of the Greater Region" (UniGR)
- A modern and dynamic university. High-quality equipment. Close ties to the business world and to the Luxembourg labour market. A unique urban site with excellent infrastructure
- A partner for society and industry. Cooperation with European institutions, innovative companies, the Financial Centre and with numerous non-academic partners such as ministries, local governments, associations, NGOs …
How to apply
- Curriculum Vitae
- 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
- 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)
- Cover letter detailing your motivation for applying to the advertised research topic and/or project, including how your background, interests, and career goals align with its objectives
- Transcript of all modules and results from university-level courses taken
All qualified individuals are encouraged to apply. In line with our values, the University of Luxembourg promotes an inclusive culture. We encourage applications from individuals of all backgrounds and are dedicated to upholding equality and respect for our employees and students.
General information:
- Contract Type: Fixed Term Contract 24 Month
- Work Hours: Full Time 40.0 Hours per Week
- Location: Kirchberg Campus
- Internal Title: Postdoctoral researcher
- Job Reference: UOL07890
The yearly gross salary for every Postdoctoral Researcher at the UL is EUR 85176 (full time).