Responsibilities: 1. designing efficient and reliable deep learning models to ensure the accuracy and range of perceptual target detection. 2. model generalization: accuracy and reliability of perceptual models and algorithms in extreme environments.

Requirements: 1、Full-time Ph.D. degree, fresh graduates or about 1-3 years experience, majoring in computer, automation, control, communication, vehicle and other related fields 2, familiar with the basic methods of video/image/point cloud processing (edge detection, region extraction, high and low pass filtering, feature extraction), and be able to use tools for video image analysis. 3, familiar with common open source library tensorflow, pytorch, caffe, etc., with rich experience in deep learning model training. 4. Fluent oral and written English