Postdoctoral Scholar: Off-Road Autonomous Construction

University of California - Irvine; Irvine (CA); On-site; USD 71,000 - 77,000; Full time

Job summary

The University of California, Irvine invites applications for two Postdoctoral Scholar positions in the Department of Civil and Environmental Engineering. These roles focus on autonomy technologies for construction machinery using real-world field data.

Topics include Autoware-based off-road autonomous driving for construction vehicles and next-generation autonomy for earthmoving equipment, with close collaboration to industry partners and UC Irvine's research centers.

Qualifications

• Experience in autonomous driving, construction machinery, off-road mobile robotics, perception, machine learning, or multi-agent systems.
• Proficiency in ROS2, Python, C++, and Git.

Responsibilities

• Pursue research on off-road autonomous driving for large construction vehicles using real-world field data, focusing on modular autonomy architecture and end-to-end autonomy.
• Conduct research in perception, planning, localization, sensor calibration, multimodal learning, and related off-road autonomous driving technologies.
• Develop, implement, and evaluate algorithms using real-world construction-vehicle data and integrate outcomes into the software stack.
• Collaborate closely with industry engineers and with researchers at UCI's Center for Resilient Autonomous Systems; mentor and guide students.
• Disseminate findings through peer-reviewed publications and technical presentations.

Skills

autonomous driving

construction machinery

off-road mobile robotics

perception

machine learning

multi-agent systems

ROS2

Python

C++

Git

Education

PhD in robotics

PhD in computer science

PhD in related engineering field

Tools

ROS2

Python

C++

Git

Job description

The University of California, Irvine invites applications for two Postdoctoral Scholar positions in the Department of Civil and Environmental Engineering. These roles focus on autonomy technologies for construction machinery using real-world field data.

Topics include Autoware-based off-road autonomous driving for construction vehicles and next-generation autonomy for earthmoving equipment, with close collaboration to industry partners and UC Irvine's research centers.