Internship: Phase-Noise-Resilient Architectures for Large MIMO FMCW Automotive Radars

Location: Eindhoven, Netherlands

Company

hirify.global develops semiconductor technologies, including solutions for automotive radar systems.

What you will do

• Investigate phase-noise accumulation and multipath propagation in large MIMO FMCW radar systems using DDMA and related techniques.
• Develop mathematical models and MATLAB and/or Python simulation frameworks for radar performance analysis.
• Research hybrid architectures combining MIMO imaging with directional phased-array transmission.
• Evaluate beam-scanning, sparse transmit activation, subarray beamforming, array configurations, scheduling, and waveform design.
• Analyze trade-offs among angular resolution, Doppler resolution, frame rate, phase-noise robustness, and implementation complexity.
• Document findings in a technical report and present recommendations.

Requirements

• Currently pursuing a Master's degree in Electrical Engineering, Signal Processing, Applied Mathematics, Physics, or a related technical discipline.
• Strong interest in radar systems, wireless communications, signal processing, and sensing technologies.
• Understanding of FFT-based processing, range-Doppler processing, detection theory, estimation theory, array signal processing, and direction-of-arrival estimation.
• Experience with MATLAB and/or Python for modeling, simulation, visualization, and algorithm development.
• Analytical approach, curiosity, self-motivation, and ability to work independently and collaboratively on open research questions.
• Strong written and verbal communication skills for documenting and presenting technical results.

Nice to have

• Familiarity with FMCW radar, MIMO radar, phased arrays, beamforming, antenna arrays, and phase-noise impairments.
• Knowledge of structured software development practices and Git.

Culture & Benefits

• Hands-on experience with advanced FMCW automotive radar and signal processing.
• Exposure to MIMO radar, phased-array beamforming, imaging radar, and array signal processing.
• Experience with theoretical analysis, simulation, and engineering trade-off evaluation.
• Combination of independent research and collaborative technical work.