Sheng Yang

A fully funded PhD position is available at the University of Guelph in the Design Innovation and Intelligent Manufacturing (DIIM) Lab, supervised by Associate Professor Sheng Yang. The research focuses on knowledge representation and learning for smart agriculture, working at the intersection of artificial intelligence, knowledge modeling, deep learning (especially graph-based learning), and digital farming systems. The ideal candidate will have a background in software engineering, computer engineering, computer science, or information technology, with strong programming skills and research experience in information retrieval, knowledge modeling, and deep learning. Knowledge of app development is considered an asset. Applicants must submit a CV, transcripts of all studies, and a sample publication. The position is fully funded, with a flexible start date as early as possible or by January 2026. For more information or to apply, contact Dr. Sheng Yang at [email protected].

The University of Guelph in Ontario, Canada, is offering a funded postdoctoral position in the area of Industrial Human-AI Collaboration, with a focus on next-generation smart manufacturing systems. The successful candidate will join a research project led by Dr. Sheng Yang, Associate Professor at the University of Guelph, and will work on topics including human-robot and AI collaboration, deep learning (such as transformers, transfer learning, multimodal models, Sim2Real), and the development and simulation of robotic systems using tools like ROS2 and Python. Applicants should have a PhD in Robotics, AI, Computer Science, Smart Manufacturing, or a related field, obtained within the last five years or to be granted before September 2026. A strong research record is required, including at least three first-authored Q1 publications. Candidates should also have hands-on experience in robotic systems and simulation, as well as experience in intelligent systems, automation, or manufacturing. Project and team management experience is considered an asset. The position is fully funded, though specific details about the stipend or salary are not provided. The research group is looking for candidates who are passionate about advancing the field of human-AI collaboration in industrial settings and who can contribute to both the theoretical and practical aspects of the project. To apply, candidates should email a single PDF containing a cover letter, CV, academic transcripts (unofficial copies are acceptable), one representative publication, and a Google Scholar profile link to Dr. Sheng Yang at [email protected]. The subject line should read 'Postdoc Position in Industrial Human-AI Collaboration'. Applications will be reviewed on a rolling basis until the position is filled, and only shortlisted candidates will be contacted. For more information about Dr. Sheng Yang, visit his LinkedIn profile . The University of Guelph is a leading Canadian institution known for its research in engineering, computer science, and smart manufacturing.