英国考文垂大学博士后职位---雷达传感技术/机器学习

英国考文垂大学博士后职位---雷达传感技术/机器学习

考文垂大学（Coventry University）是一所坐落于英国英格兰西米德兰兹郡考文垂的公立研究型大学，为江苏—英国高水平大学联盟成员。

学校前身是成立于1843年的考文垂设计学校，1970年与兰彻斯特理工学校和橄榄球工程技术学校合并更名兰彻斯特理工学院，1987年更名考文垂理工学院，1992年依据《继续教育与高等教育法案》赋予其大学地位，更名考文垂大学，2010年设立伦敦校区，2017年获得教学卓越框架金奖。

2022年9月，英国考文垂大学即将在北京成立的中国区总部（China Hub）将进一步促进大学和中国高校、企业的学术交流和商业合作。

Research Fellow

Coventry University

Job description

Coventry University is seeking a Research Fellow for an Engineering & Physical Sciences Research Council (EPSRC) project “ RADAR Sensing for Human Activity Monitoring of Daily Living Simultaneously in Multiple Subjects ” to work in the Research Centre for Intelligent Healthcare.

The Centre aims to become a globally recognised research centre for pioneering and opinion-setting research in the area of digital healthcare and its contribution to improving communities and enriching and prolonging individual lives.

The post-holder will work with Dr Syed Aziz Shah (Project Lead & Principle Investigator) within one of the six vibrant teams namely “Healthcare Sensing Technology Cluster” supporting the delivery of the project.

Project description:

State-of-the-art RADAR systems have only been used to detect the human activities of daily living of single individuals in direct line-of-sight (LOS) and in a well-controlled environment 1,2. In this project, we will develop a novel approach of using RADAR sensing technology coupled with machine learning/deep learning algorithms for not only detecting, but also identifying and tracking the activities of daily living of multiple individuals in an indoor environment. Specifically, the approach aims to capture critical events (such as falls and wandering behavior) in direct line-of-sight and non-line-of-sight in a well-controlled controlled environment, and in a number of natural heterogeneous environments in a non- intrusive way.

1. S.A. Shah and F. Fioranelli, “Human Activity Recognition: Preliminary Results for Dataset Portability using FMCW RADAR”, International RADAR Conference, France 2019.

2. F. Fioranelli, S.A. Shah, et al., “Intelligent RF Sensing for Falls and Health Prediction https:// researchdata.gla.ac.uk/848/”, Dataset, 2019

The post is a fixed term position, subject to funding

If you are interested in the position and wish to know more, please contact Dr Syed Aziz Shah (syed.shah@coventry.ac.uk ).

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