Available Projects
Self funding
Applications are welcome from those able to support themselves or with funding already arranged. Such applications will go through the same level of academic assessment. Please see the fee arrangementsLink opens in a new window for PGR students.
Computational quantum engineering of nanoscale molecular devices
At the intersection of quantum physics and materials engineering lies the future of computing and energy harvesting. We are seeking an ambitious researcher to push the limits of the atomic scale, transforming theoretical insights into the building blocks of next-generation quantum technology.
Supervisor: Professor Hatef Sadeghi - Email: Hatef.Sadeghi@warwick.ac.uk
Physics Meets AI: Scientific Machine Learning for Offshore Wind Farm Modelling
This PhD will develop physics-aware AI models tailored for offshore wind applications. By embedding physical laws into machine learning (ML), the research aims to deliver fast, reliable digital models. The work will contribute to improved wind-farm design, enhanced reliability, and reduced costs. The student will develop strong expertise in physics-informed machine learning, renewable energy, and digital twins—skills that are increasingly important across scientific and engineering disciplines.
Primary supervisor: Dr Jincheng Zhang - Email: Jincheng.Zhang.1@warwick.ac.uk
Co-supervisor: Peter Brommer
Use the link to explore the project in more detail.
Identifying and Mitigating Power Grid Stability Risks from Artificial Intelligence Data Centres
Artificial intelligence (AI)-based technologies are being adopted across various sectors at an unprecedented scale. However, the computing resources required to run these algorithms, i.e., the AI data centers, are extremely power hungry, thus significantly increasing the burden on the electrical grid. The proposed PhD project will develop analytical methods to identify the threats from AI data centers to power grids and develop solutions to mitigate the risks.
Primary supervisor: Dr Subhash Lakshminarayana - Subhash.Lakshminarayana@warwick.ac.uk
Use the link above to expand the project detail.
Engineering emerging materials for quantum technologies
The aim of the project is to exploit electronic properties of nanoscale materials to discover and design novel materials for nanoelectronic applications. The ultimate goal of the research is to understand quantum transport through molecular structure such as single molecules, self-assembled monolayers, graphene nanoribbons and van der Waals heterostructures for functional quantum devices.
Primary supervisor: Dr. Sara Sangtarash
Email: Sara.Sangtarash@warwick.ac.uk
Use the link to explore the project in more detail.
Meaning-aware optical communication networks (SMART)
In an era of rapidly increasing data traffic, SMART addresses the critical need to optimise the way information is transmitted across digital infrastructure. By embedding semantic awareness into optical data transmission, SMART will enable optical networks to prioritise information based on its contextual relevance, significantly reducing redundant data flow and enhancing overall system efficiency.
Primary supervisor: Dr Tianhua Xu - Email: Tianhua.Xu@warwick.ac.uk
Use the link to explore the project in more detail.
Use AI to understand how materials break
Do you want to use artificial intelligence to tackle one of engineering鈥檚 toughest problems? This PhD lets you explore how and why materials fail and build next-generation models that predict fracture under real-world conditions. You鈥檒l go beyond traditional methods, combining continuum mechanics with AI and cutting-edge computational tools to handle uncertainty and complexity in material behaviour.
Primary supervisor: Dr Emmanouil Kakouris - Email: Emmanouil.Kakouris@warwick.ac.uk
Use the link to explore the project in more detail.
Low-Latency Telepresence and Holographic Robotics
What if you could physically interact with a robot thousands of miles away — or even on another planet — as if you were standing right there? Telepresence robotics is turning this science fiction into reality, enabling remote surgery, hazardous site inspection, and assistive care through immersive mixed-reality (XR) interfaces.
Primary supervisor: Dr Zhenhui Yuan - Email: Zhenhui.Yuan@warwick.ac.uk
Use the link to explore the project in more detail.
Distributed Machine Learning for Robotic Sensor Networks
Imagine fleets of small robots that can explore disaster zones, monitor forests, or track pollution — all without central control. This vision is becoming real through Robotic Sensor Networks (RSNs), where mobile robots and wireless sensors cooperate to sense, learn, and act in dynamic environments. Unlike static sensor networks, RSNs can move, adapt, and reconfigure themselves to achieve mission goals even when communication links break or the environment changes.
Primary supervisor: Dr Zhenhui Yuan - Email: Zhenhui.Yuan@warwick.ac.uk
Use the link to explore the project in more detail.
Computational modelling of fracture in engineering materials
Fracture - the way cracks initiate and grow - is at the heart of engineering safety, from aircraft fuselages and wind turbines to bridges and biomedical implants. Predicting fracture is a major challenge: cracks evolve in complex ways that traditional models often fail to capture. This PhD gives you the chance to develop advanced computational models of fracture, combining continuum mechanics, numerical methods, and high-performance computing to simulate failure under extreme loading conditions.
Primary supervisor: Dr Emmanouil Kakouris - Email: Emmanouil.Kakouris@warwick.ac.uk
Use the link to explore the project in more detail.
Integrated sensing and communications for 6G communications
This project will investigate methods to support dual functions - communications and sensing - using the same spectrum, and therefore offering improved efficiency and new services.
Primary supervisor: Professor Gan Zheng: Gan.Zheng@warwick.ac.uk
Use the link above to expand the project detail.
The University of 糖心TV provides an inclusive working and learning environment, recognising and respecting every individual鈥檚 differences. We welcome applications from individuals who identify with any of the protected characteristics defined by the Equality Act 2010.