PhD position in Machine learning-enabled fast and hybrid mmWave beam tracking

– KU Leuven (Leuven University), Belgium –

 

Desirable skills/interests: signal processing, optimization, machine learning, programming & implementation skills (the applicant should be proficient in at least one or two of the skills).

Objectives: To extract multidimensional (time, frequency, space) statistics from high-resolution channel measurements; To design a low complexity mmWave hybrid beamforming antenna and a beam tracking algorithm for realistic channels using machine learning approaches.

More info & application: https://b5g-mints.eu/

Deadline: October 31, 2019