PhD Student in Integrated Communications and Sensing (m/f/d)

Key Skills

Analytical and Problem solving, Effective communication skills, English Proficiency, Machine learning techniques, MATLAB Programming, Signal processing

Job Description

The recent availability of low-cost automotive radar sensors has led to their rapid use in providing environmental perception. These sensing and perception capabilities are used for enhanced car safety and enabling a variety of autonomous driving functions. Currently automotive radar deployments are low. However, with increasing market penetration, it is expected that the ad hoc operation of today’s radar sensors will lead to a significant interference problem in the future.

In this PhD project, resource allocation strategies for interference management wherein the automotive radars rely on 6G communication infrastructure are considered. Both centralized and decentralized interference management designs are expected to be developed in the project, resulting in a “radar MAC” design. Another aspect in the project is to develop interference learning methods based on physical interference signal characteristics leveraging on developments in the field of machine learning.

Your tasks:

• Understanding and analysis of scientific literature in integrated communications and radar sensing
• Design of 6G-coordinated protocols for radar interference management
• Radar signal waveform designs aided by radar interference coordination
• Performance evaluation of interference management solutions: development of system performance metrics, demonstrations on prototype setups
• Dissemination and exploitation of the results, e.g. scientific publications, intellectual property

Education and Requirements:

• Masters degree in Electrical Engineering or related fields
• First experience in wireless communications, signal processing and/or radar systems is strongly desired
• First experience in machine learning techniques is a plus
• Ability to work on theoretical analyses, Matlab simulations, and hardware
• Strong analytical skills
• Fluency in spoken and written English for scientific dissemination

Please note that this is a PhD contract in part-time (80%), limited to 3 years.