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  Zero-short Learnings for Human Action Analysis in Radars

   School of Computing

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  Dr Shufan Yang  Applications accepted all year round  Self-Funded PhD Students Only

About the Project

The automatic human action analysis is an important task in many real-world applications such as healthcare, robotics. In this project, we focus on human action recognition and localization via radar. We aim to explore the zero-short learning method in motion activities for automatic human action recognition and localization. This project will co-supervised with Dr Julian Le Ker at University of Glasgow. The PhD student will gain substantial knowledge in fields such as radar signal processing, AI hardware, and imaging processing, and will learn various machine learning and data analytical skills.

Academic Qualifications:

A first degree in a relevant scientific discipline, such as computer science, engineering, mathematics, physics, or medicine. Desirable skills include mathematics, statistics, machine learning, computer vision, and software engineering.

English Language requirement

IELTS score must be at least 6.5. Other equivalent qualifications will be accepted. Full details of the University’s policy are available online.

Essential attributes:

Edinburgh Napier University is committed to promoting equality and diversity in our staff and student community

Computer Science (8) Mathematics (25)

Funding Notes

Candidates who have been offered a place for PhD study at the School of Computing may be considered for funding by the School.
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