Filtered Mathematics Jobs

Fully Funded PhD Studentship (Home Fees)

Project Title: Developing Fair and Robust Cancer Risk Prediction Models Using Health Data

Supervisor: Professor Angela Wood (Professor of Biostatistics and Health Data Science)

Start date: January 2027 (or earlier)

We are offering an exciting fully funded PhD studentship at the University of Cambridge, embedded within Cancer Data Driven Detection (CD3) - a major £10 million national research programme bringing together leading experts in cancer epidemiolog...

About the role:

The role will engage in translational research developing AI tools for rapid assessment of fetal heart anatomy and function from echocardiography images. It utilizes such tools to assess a type of advanced fetal heart intervention, fetal aortic valvuloplasty, where catheters are used to relieve flow obstruction in the fetal heart to avoid a progression to congenital heart malformation at birth. It will further develop a computational model for better patient selection.

What you wou...

Project supervisor – Dr Temitope Alade

Are you ready to redefine the foundations of wireless connectivity? As we approach the sixth generation (6G) mobile communication era, traditional communication systems are hitting the Shannon Limit. Simply increasing bandwidth is no longer sustainable due to increasing energy and complexity constraints. This project offers a bold alternative by bridging the gap between cutting-edge Generative AI and Wireless Communications: Semantic Communication powered by...

Supervisor: Dr Ravindra Desai, University of Warwick

Space weather is driven by eruptions of plasma from the Sun’s surface called coronal mass ejections. Upon arrival at Earth, these not only extend the northern and southern lights to low latitudes but can knock out satellites, communications and entire power grids. Extreme events with low return periods are especially important for power plants where 1 in 10,000 year risk levels are required to be mitigated for. Through collaboration with EDF En...

The rapid adoption of Industrial Internet of Things (IIoT) technologies has transformed manufacturing, offering greater efficiency, real-time monitoring, and data-driven decision-making. However, this interconnectivity introduces significant cybersecurity vulnerabilities, leaving systems exposed to cyber-attacks. Traditional intrusion detection systems (IDS) often fall short in handling the real-time, large-scale data demands of IIoT and lack sustainability considerations, such as energy efficie...