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Job Description
Doppler-Aided Localisation of GNSS Jammers from UAV with a Drone Swarm-Capable Outlook ISL - French-German research Institute of Saint-Louis Remote | Saint-Louis Speaks German, English, French Apply Summary by Impactpool The PhD position at ISL focuses on the Doppler-Aided Localisation of GNSS jammers using UAVs. The candidate will develop algorithms to detect and locate jammers while working in a collaborative, interdisciplinary environment. This role involves building a prototype system based on Software-Defined Radio and exploring swarm-enabled capabilities for enhanced localisation. The position offers a unique opportunity to contribute to advancements in secure navigation technologies.
Candidate Requirements:
ISL is offering a PhD Position Doppler-Aided Localisation of GNSS Jammers from UAV with a Drone Swarm-Capable Outlook •In cooperation with industry Shape the future of secure, resilient navigation technologies 📍
Location:
Saint-Louis (France), in the tri-border region of France, Germany, and Switzerland 📃
Contract:
3-year contract, extendable depending on university. Fast-track PhD program with full engineering support. 🕔 Working time: Full-time, with flexible working hours and remote work options About this Position Are you passionate about navigation systems that remain operational in uncertain or degraded environments? Do you want to push the science of RF-signal processing, electronic countermeasures and embedded intelligence? At the French-German Research Institute Saint-Louis (ISL) , you will work on the frontier of research on robust and intelligent navigation systems for both defence and security applications. You will collaborate with experts in smart antennas, ELectronic INTelligence (ELINT), drone prototyping, and embedded systems in an inter-disciplinary and multi-cultural team. Your mission will have a direct impact on European technological sovereignty and security. Your Mission Global Navigation Satellite System (GNSS) jamming and spoofing devices deny positioning and navigation to civilian, governmental and military users. Small Unmanned Aerial Vehicles (UAVs) or drones are emerging as flexible sensor carrier platforms and could be used to locate the interfering emitter source. This PhD thesis targets the development of a miniaturized, passive RF seeker capable of detecting, classifying, locating, tracking and homing-in on GNSS jammers , without active reliance on GNSS navigation of the drone itself. You will develop and validate algorithms that estimate the location of GNSS jammers by exploiting Doppler shifts and platform kinematics. The goal is to allow a single drone to localise the jammer using its own manoeuvring and RF-sensing. Based on a Commercial-Of-The-Shelf (COTS) Software-Defined-Radio (SDR), a prototype software and system is to be built and experimentally tested in lab and in flight. As an outlook, you will explore in simulation, how multiple low-cost platforms can collaboratively refine jammer localisation using distributed signal strength, Doppler, or timing data. This lays the groundwork for future swarm-enabled home-on-jam capabilities with minimal per-unit cost. What We Expect from You Master in electrical engineering, microwave engineering, computer science, or in a comparable field with focus on RF signal-processing Expertise in: RF signal processing and Software Defined Radio Programming experience in C/C++, Python, or Matlab Additional assets could be: Familiarity with AI tools, such as PyTorch, JAX, TensorFlow, MLFlow, WandB and edge computing platforms (e.g. Jetson) Interest in military trends, especially regarding drones and navigation warfare Excellent command of English (spoken and written); a good command of French and/or German would be an advantage RF signal processing and Software Defined Radio Programming experience in C/C++, Python, or Matlab Familiarity with AI tools, such as PyTorch, JAX, TensorFlow, MLFlow, WandB and edge computing platforms (e.g. Jetson) Interest in military trends, especially regarding drones and navigation warfare What You'll Get in Return At ISL, you will benefit from: A top-tier Franco-German research environment with campus life Access to c utting-edge infrastructure for simulation, prototyping and live testing Collaboration with over 400 colleagues including 40 PhD-students Strong scientific supervision and support for relocation , on-boarding, career development and academic research F lexible working conditions with a true work-life balance and 40+ days of paid leave per year A vibrant culture of knowledge-sharing, innovation and employee driven initiatives (social, sports and cultural activities) How to apply 👉 Learn more about ISL benefits and our research culture here: 📎 Why join us 🗓 Start date: to be defined 🌐 Working language: English (French and/or German appreciated, language courses and casual multi-lingual coffee meetings available). At ISL, your research builds the navigation technologies of tomorrow. Join us to make your mark. At Impactpool we do our best to provide you the most accurate info, but closing dates may be wrong on our site. Please check on the recruiting organization's page for the exact info. Candidates are responsible for complying with deadlines and are encouraged to submit applications well ahead. Before applying, please make sure that you have read the requirements for the position and that you qualify. Applications from non-qualifying applicants will most likely be discarded by the recruiting manager. Summary by Impactpool The PhD position at ISL focuses on the Doppler-Aided Localisation of GNSS jammers using UAVs. The candidate will develop algorithms to detect and locate jammers while working in a collaborative, interdisciplinary environment. This role involves building a prototype system based on Software-Defined Radio and exploring swarm-enabled capabilities for enhanced localisation. The position offers a unique opportunity to contribute to advancements in secure navigation technologies.
Candidate Requirements:
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