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  Dr J Zhang, Dr Xiaowei Huang  No more applications being accepted  Funded PhD Project (Students Worldwide)

About the Project

Wireless sensing is a new technique that uses the wireless devices as sensors to glean environment variations and make smart decisions. Any object moving in the wireless environment will cause variations of the channel state information (CSI). Based on the CSI variations measured by wireless receivers, deep learning techniques can be leveraged for interpreting and deducing the environment changes and the object behaviour within it. This technique can be used with many wireless systems, such as WiFi, LoRa, and mmWave radar. Wireless sensing has wide applications, including gesture recognition, smart healthcare such as fall detection of elderly, security surveillance, and vital signal monitoring.

While there have been many research progresses made in recent years, there are still a number of challenges remaining. This PhD project aims to carry out novel research with a synergistic study on the system modelling, prototyping and experimental validations. Commercial off-the-shelf devices are available, such as software defined radio platforms, WiFi boards, and mmwave sensors. Deep learning algorithms will be employed to obtain a high classification accuracy.

Academic Requirements

Applicants for postgraduate research study at Liverpool are normally expected to hold a UK first degree with a First Class or Upper Second Class degree classification, or a Second Class degree plus a Master’s degree.

The following skills will be highly desirable:

•            Background in wireless communication, Internet of things, or computer science

•            Good programming skills

•            Experience of deep learning

English Language Requirements 

Students from the UK will normally be expected to have a GCSE in English at grade 4 or above, or an equivalent qualification.

For students whose first language is not English, the University’s minimum requirements are the IELTS test with a minimum overall score of 6.5, and no less than 5.5 in each of the sub-tests (reading, writing, speaking and listening) or an equivalent qualification.  

For academic enquires please contact Dr. Junqing Zhang, [Email Address Removed]

For enquires on the application process please contact [Email Address Removed]

To apply for this opportunity, please visit: https://www.liverpool.ac.uk/study/postgraduate-research/how-to-apply/ and click on the 'Ready to apply? Apply online' button, to start your application.


Funding Notes

The PhD studentship will granted on current UKRI levels of support: UK home fee rate, a Research Training Support Grant (RTSG) and annual stipend granted for 3.5 years for full-time study or 6 years for part-time study. In 2022/23 the home fee rate is forecasted to be £4,568, a stipend of £15,843, and a RTSG of £5000 over the duration of study. International students are welcome to apply but would need to make up the difference between the home and overseas fee rate.

References

Deep Learning for Radio-Based Human Sensing: Recent Advances and Future Directions https://ieeexplore.ieee.org/abstract/document/9353723
Device-Free Human Activity Recognition Using Commercial WiFi Devices https://ieeexplore.ieee.org/abstract/document/7875148
Exploring LoRa for Long-range Through-wall Sensing https://dl.acm.org/doi/abs/10.1145/3397326
Zero-Effort Cross-Domain Gesture Recognition with Wi-Fi https://dl.acm.org/doi/abs/10.1145/3307334.3326081
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