Internship: Signal Processing for Digital Millimeter-Wave Radar Sensing

Key Skills

Effective communication skills, MATLAB Programming, Python Programming

Job Description

Your Team

We are a research group within the Radio Frequency Processing business that works on long-term innovation topics like automotive radar, connectivity and health IoT. We are currently looking for a graduate student (9-month thesis/12-month towards a thesis + internship) to shape these future topics.

Project description

Radar is a core perception technology in advanced driver assisted systems (ADAS) for enhancing safety and convenience. Future radar systems in vehicles will operate in high millimeter-wave bands and incorporate more digital processing and machine learning capabilities. These developments open up new opportunities for flexible and cognitive radar sensing. In this context, we have Master thesis opportunities on topics like digital radar sensing, sensor calibration, radar interference management and mitigation, MIMO radar, novel machine learning based radar transceiver architectures, and cognitive radar techniques. The focus will be on exploring new waveforms, beamforming techniques, and development of novel algorithms for radar sensing.

What’s in it for you

• A great opportunity to develop your skills (technical, soft skills, communication, etc.)
• Gaining experience in a multinational and diverse environment
• Possibility to become part of NXP’s Young Professional Talent Pool
• Working on industrial research assignments which contribute to NXP’s goals

Your profile

• Enrolled as a Master’s student in computer/electrical/electronic engineering, or a relevant field of study.
• Background in signal processing methods like array processing, detection and estimation.
• Prior experience in radar systems (via coursework or projects) is a plus.
• Experience in Matlab/Python scripting.
• Strong oral and written communication skills in English.
• Strong motivation in working in an R&D environment.

Duration 

This is a full-time internship (40 hours per week) with a duration of 9 months or longer. The assignment could also be suitable as a thesis/graduation project.

Please note that in order to be considered for an internship/working student assignment, you need to be registered as a student during the entire period.