Master's thesis: AI Driven 3D Radar for Drone Detection with 6G ISAC
Technology, Data & Digital · Software & Web Development · Software Engineering · Data Science · Embedded Systems
In short
Master's students are sought for a thesis project on AI-driven 3D radar for drone detection using 6G ISAC. The project involves integrating physical radar hardware, collecting data, implementing signal processing and AI models on edge devices, and connecting to 5G networks. The work will be conducted at RISE in Sweden and TU Graz in Austria.
Responsibilities
- Review 6G ISAC principles, distributed multistatic radar architectures, and RF-based drone detection.
- Specify and integrate radar hardware with researchers at TU Graz.
- Plan and carry out measurement campaigns to record raw radar data and micro-Doppler signatures of drones.
- Implement and benchmark the radar processing chain on embedded edge hardware.
- Deploy and evaluate a CNN-based detection model on the edge platform.
- Fine-tune the detection model on newly collected data.
- Connect radar nodes to 5G modems to stream detections to a central server.
- Contribute to scaling the setup into a distributed testbed of at least five measurement nodes.
Requirements
- Enrolled in a Master’s programme in Electrical Engineering, Telecommunications, Computer Science, Mechatronics, or a similar field.
- Solid background in digital signal processing, linear algebra, and radar principles (FMCW, FFT processing, CFAR).
- Good programming skills in Python and/or C/C++.
- Ability to communicate well in English.
- Ability to work independently in an international team across RISE and TU Graz.
Desired Qualifications
- Experience with MATLAB/Simulink.
- Experience with embedded Linux.
- Experience with edge platforms such as NVIDIA Jetson.
- Interest in sensor fusion.
- Interest in state estimation (e.g. Kalman filtering).
- Interest in applied machine learning.
Benefits
- Flexible start time.
- Scope: 30 hp (approx. 20-30 weeks, full-time).
- Opportunity to work with cutting-edge 6G ISAC technology.
- Collaboration with researchers at RISE and TU Graz.
- Hands-on experimental work with real hardware.
Skills
PythonC/C++MATLABSimulinkLinuxNVIDIA JetsonDigital Signal ProcessingLinear AlgebraRadarFMCWFFTCFARMachine LearningKalman FilteringSensor Fusion
#AI#3D Radar#Drone Detection#6G#ISAC#RISE#TU Graz#RADAR PAN-SWEDEN#Signal Processing#Edge AI#5G#FMCW#FFT#CFAR#Embedded Systems#NVIDIA Jetson#Machine Learning#Kalman Filter#Sensor Fusion
Job Posted
5 days ago
Expires
in 1 week
Employment Type
Internship
Work mode
Hybrid
Experience Level
Entry
Locations
Stockholm, Sweden
Graz, Austria
Qualification
Master
Applicants
Be an early applicant
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