Internship: Phase-Noise-Resilient Architectures for Large MIMO FMCW Automotive Radars
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Qualifications
- The candidate must be 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.
- Familiarity with FMCW radar, MIMO radar, phased arrays, beamforming, antenna arrays, and RF impairments such as phase noise is highly beneficial.
- Good 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.
- Knowledge of structured software development practices and version control tools such as Git is a plus.
- Self-motivated, curious, analytical, and comfortable working on open research questions with both independent and collaborative work styles.
- Strong written and verbal communication skills, with the ability to document technical findings and present results clearly.
- More information about NXP in the Netherlands... #LI-f5d0
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Job ID
/job/Eindhoven/Internship--Phase-Noise-Resilient-Architectures-for-Large-MIMO-FMCW-Automotive-Radars_R-10064089
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