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.
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.
