Working Student - Radar Coexistence & Interference Analysis

About Xneural

Xneural develops scalable airspace surveillance systems based on distributed 77 GHz radar sensors and cloud-based AI perception. Our mission is to make the lower airspace visible through Drone Detection as a Service deployed on existing telecommunications infrastructure.

We are looking for a Working Student to support the technical and regulatory assessment of large-scale deployments of stationary 77 GHz radar systems.

Your Responsiblities

• Analyze coexistence scenarios between stationary drone detection radars and automotive radar systems operating in the 76–81 GHz band
• Develop RF propagation and interference models
• Perform simulations of radar-to-radar interference mechanisms
• Conduct measurements using real 77 GHz radar hardware
• Quantify potential impacts on automotive radar performance
• Investigate mitigation and spectrum sharing techniques
• Contribute to technical reports supporting future regulatory and spectrum authorization activities

Your Profile

• Student in Electrical Engineering, Telecommunications, Physics, Computer Engineering, or a related discipline
• Interest in RF engineering, radar systems, wireless communications, or electromagnetic compatibility
• Experience with MATLAB, Python, or simulation tools is beneficial
• Strong analytical and problem-solving skills

What we offer

• Access to state-of-the-art 77 GHz radar hardware
• Collaboration with experienced radar, telecom, and AI engineers
• Opportunity to contribute to real-world spectrum authorization and regulatory activities
• Startup culture with high ownership and direct impact
• Flexible working hours compatible with university studies
• Competitive compensation
• Opportunity to continue the work as a Master’s or Diploma Thesis
• Potential path to a full-time engineering role after graduation

Why this matters

Future large-scale deployment of stationary radar systems for drone detection requires a detailed understanding of coexistence with existing users of the 76–81 GHz band. The results of this work will help generate scientific evidence and measurement data supporting future regulatory discussions and spectrum authorization processes.