Job Description

Locations

• Eindhoven

Skills Required

• FMCW radarintermediate
• MATLAB and/or Python for modelingintermediate
• structured software development practicesintermediate

Required Qualifications

• The candidate must be pursuing a Master's degree in Electrical Engineering, Signal Processing, Applied Mathematics, Physics, or a related technical discipline. (degree in electrical engineering)
• Strong interest in radar systems, wireless communications, signal processing, and sensing technologies. (experience)
• Familiarity with FMCW radar, MIMO radar, phased arrays, beamforming, antenna arrays, and RF impairments such as phase noise is highly beneficial. (experience)
• Good understanding of FFT-based processing, range-Doppler processing, detection theory, estimation theory, array signal processing, and direction-of-arrival estimation. (experience)
• Experience with MATLAB and/or Python for modeling, simulation, visualization, and algorithm development. (experience)
• Knowledge of structured software development practices and version control tools such as Git is a plus. (experience)
• Self-motivated, curious, analytical, and comfortable working on open research questions with both independent and collaborative work styles. (experience)
• Strong written and verbal communication skills, with the ability to document technical findings and present results clearly. (experience)
• The candidate must be pursuing a Master's degree in Electrical Engineering, Signal Processing, Applied Mathematics, Physics, or a related technical discipline. (degree in electrical engineering)
• Strong interest in radar systems, wireless communications, signal processing, and sensing technologies. (experience)
• Familiarity with FMCW radar, MIMO radar, phased arrays, beamforming, antenna arrays, and RF impairments such as phase noise is highly beneficial. (experience)
• Good understanding of FFT-based processing, range-Doppler processing, detection theory, estimation theory, array signal processing, and direction-of-arrival estimation. (experience)
• Experience with MATLAB and/or Python for modeling, simulation, visualization, and algorithm development. (experience)
• Knowledge of structured software development practices and version control tools such as Git is a plus. (experience)
• Self-motivated, curious, analytical, and comfortable working on open research questions with both independent and collaborative work styles. (experience)
• Strong written and verbal communication skills, with the ability to document technical findings and present results clearly. (experience)
• More information about NXP in the Netherlands... (experience)

Responsibilities

• The internship focuses on the exploration and evaluation of next-generation automotive radar architectures that combine the benefits of large-scale MIMO imaging and phased-array beam steering.
• Investigate the impact of phase noise accumulation and multipath propagation in large MIMO FMCW radar systems employing DDMA and related techniques.
• Develop mathematical models and simulation frameworks to analyze radar system performance, including angle resolution, Doppler resolution, detection capability, and phase-noise robustness.
• Research and evaluate hybrid radar architectures that combine MIMO imaging capability with directional phased-array transmission.
• Explore beam-scanning strategies, DDMA-based transmission schemes, sparse transmit activation methods, and subarray-based beamforming concepts.
• Design and perform MATLAB and/or Python simulations to compare alternative radar architectures and quantify associated system trade-offs.
• Investigate the impact of phase noise accumulation and multipath propagation in large MIMO FMCW radar systems employing DDMA and related techniques.
• Develop mathematical models and simulation frameworks to analyze radar system performance, including angle resolution, Doppler resolution, detection capability, and phase-noise robustness.
• Research and evaluate hybrid radar architectures that combine MIMO imaging capability with directional phased-array transmission.
• Explore beam-scanning strategies, DDMA-based transmission schemes, sparse transmit activation methods, and subarray-based beamforming concepts.
• Design and perform MATLAB and/or Python simulations to compare alternative radar architectures and quantify associated system trade-offs.

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