PhD Student in Radar Interference Avoidance

TL;DR

PhD Student in Radar Interference Avoidance: Investigating and developing signal processing algorithms to mitigate interference in automotive radar sensors with an accent on understanding physical radar operation and defining multi-car scenarios. Focus on exploiting and developing algorithms for interference mitigation and characterizing interference situations.

Location: Onsite in Dresden, Germany

Company

hirify.global is a global leader in secure connectivity solutions for embedded applications, enabling a smarter, safer, and more sustainable world through innovation in automotive, industrial & IoT, mobile, and communication infrastructure markets.

What you will do

• Investigate the influence of radar interference from other vehicles.
• Study ways to prevent interference or minimize its impact for reliable sensing using safety-critical radar sensors.
• Simulate modelled traffic scenarios and/or measure on real hardware.
• Assess interference mitigation approaches with respect to their usefulness.
• Work alongside NXP’s radar development team in Dresden, closely connected with NXP innovation teams.
• Receive scientific supervision from the Chair of Electronic Systems and Sensors at Brandenburg University of Technology.

Requirements

• Master's degree in Electrical Engineering or related fields.
• Profound mathematical skills are a must.
• Experience in simulation for signal processing, image processing, and/or neural networks are desirable.
• Experience with MATLAB and/or Python will be helpful.

Culture & Benefits

• Online and offline learning opportunities for career development.
• Commitment to sustainability and making measurable year-on-year progress.
• Inclusive work environment with programs focused on diversity, inclusion, and equality.