Human activity recognition (HAR) is a compelling topic in the fields of ubiquitous computing, with numerous applications including human behaviour understanding, smart healthcare, human-computer-interaction (HCI), and more. Among various sensing technologies, Radio Frequency (RF) signals such as WiFi can be applied in a less intrusive manner, offering significant potential in smart home environments. However, due to multipath propagation, WiFi signals often contain a high level of noise from physical environments that need to suppressed before developing HAR models.

I am seeking a PhD candidate in machine learning (ML) theory as well as theoretical-oriented topics. The project aims to theoretically understand why ML models perform well and/or design efficient training algorithms. The topics include but not limited to

1. Generalization guarantees of over-parameterized ML models

2. Robustness of neural networks for trustworthy ML systems

For further details please contact Dr. Fanghui Liu (fanghui.liu@warwick.ac.uk), Assistant Professor, University of Warwick. More information can be found here (www.lfhsgre.org).

PhD Studentships in Computer Science

Computer Science have funded scholarships available each year. The scholarships cover full fees and stipend payable at current UK Research Council rates. If you would like to be considered please note the next deadlines below:

• Open now for MPhil/PhD course applications.
• Deadline for Scholarship Nominations by Supervisors: 15th January, 2024
• Scholarship Decisions: March 2024

Eligibility: Scholarships are open to Home, EU, and international applicants.

Candidates should have a good degree in computer science, engineering or a related discipline, with solid mathematical background and strong programming skills. The scholarship will give you the opportunity to join a leading Computer Science department, and pursue academic excellence in your chosen area of Computer Science: Artificial Intelligence, Data Science, Human Centred Computing, Systems, Theory, or Applied Computing.

Please apply online by following our application advice.