Research & Development

Postdoctoral Researcher, Computer Vision

Design and develop machine learning/deep learning models for Semantic/Instance Segmentation, Anomaly Detection and Entity Classification.
Research and exploration of state-of-the-art AI algorithms for industrial images analysis
Carry out R&D tasks against the plans and complete the projects (including R&D work, project documents, technical report and paper, patents, etc.) as scheduled with high standard
Provide technical leadership, including coaching other research staff to undertake development works.
Assist in organizing and delivering technical activities, such as workshops, technical seminars, and training, etc.
Support ad hoc projects and assignments when required.

Doctorate Degree from disciplines such as Computer Engineering, AI, Computer Science, Intelligent Systems, Information Engineering or equivalent from a local university or the world top 100 universities
Project experience in R&D on Machine Vision Inspection, Image Processing, Deep Learning and related areas preferred
Hands on programming skills in Python, as well as deep learning frameworks like TensorFlow, Keras and PyTorch
Experience with OpenCV and deep learning models including CNN, RNN, Transformers for object segmentation and classification will be a plus
Experience in using JIRA, Bitbucket, Confluence for project development. Experience as Scrum Master is a plus.
Experience in Docker and Kubernetes clusters will be a plus
Experience in developing industrial grade software, preferably for the Manufacturing Industry is a plus.
Excellent problem-solving skills and the ability to align efforts of disparate groups to achieve a common goal
Good presentation, communication and interpersonal skills and responsible
Passionate, self-motivated, able to work under pressure and meet tight deadlines
Good command of both spoken and written English, Chinese (including Putonghua) preferred

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