Research Assistant: Automotive Perception & AI Innovation

Queen Mary University of London; Greater London; On-site; GBP 40,000 - 60,000; Full time

Job summary

A prestigious UK university is seeking a researcher to investigate AI-based automotive perception. The role involves developing methodologies for sensor analysis, collaborating with industry partners, and publishing research findings. Candidates should have experience in automotive sensor data collection and ROS2. Competitive salaries, flexible working arrangements, and a commitment to diversity are offered.

Benefits

Competitive salary

Generous pension scheme

30 days' leave per annum

Flexible working arrangements

Professional development opportunities

Qualifications

• Experience in working with industry partners on research projects related to sensing and perception in automated vehicles.
• Expertise in automotive sensor data collection, ROS2, and DNN-based data enhancement.

Responsibilities

• Conduct in depth research into AI-based automotive perception.
• Develop methodologies for sensor modelling, noise factor analysis, and machine learning.
• Provide support to the ROADVIEW consortium and partner projects.
• Publish research outcomes in reputable journals and present findings at conferences.

Skills

Automotive sensor data collection

ROS2

DNN-based data enhancement

Job description

A prestigious UK university is seeking a researcher to investigate AI-based automotive perception. The role involves developing methodologies for sensor analysis, collaborating with industry partners, and publishing research findings. Candidates should have experience in automotive sensor data collection and ROS2. Competitive salaries, flexible working arrangements, and a commitment to diversity are offered.