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We have 307 Artificial Intelligence (funding) PhD Projects, Programmes & Scholarships

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Artificial Intelligence (funding) PhD Projects, Programmes & Scholarships

We have 307 Artificial Intelligence (funding) PhD Projects, Programmes & Scholarships

Developing an AI-driven BCI-based neurofeedback device to treat chronic post-viral fatigue syndrome

The Faculty of Science and Health at the University of Essex is offering one PhD research Scholarship for a student to participate in a joint project with g.tec (gtec.at), NHS, and BT. Read more

Distributed active reinforcement learning for multi-agent planning and control

With the rapid development of network-connected systems, coordination and cooperation among the subsystems/agents have become increasingly important and powerful in many control and robotics applications. Read more
Last chance to apply

Exploiting AI to assist research policy in Agritech/Medtech.

The Postgraduate Research Programme MedAgriTech AI eXcellence (MATX) offers 12 PhD research scholarships to commence in 2024. Each project will include an enterprise placement of minimum 12 weeks duration. Read more

Formal Verification of Robot Teams or Human-Robot Interaction

CRADLE is an EPSRC funded Prosperity Partnership that brings together the industrial experience that Jacobs have in applied robotics and autonomous systems (RAS) with the research expertise at the University of Manchester in this field. Read more

Cyber Security for Active and Flexible Networks (Cyber-SAFEN)

The electricity network serves as the interface between distributed generation, active demand and local flexibility market, and digital substations are enablers for the network power flow to be controlled and directed safely and securely. Read more

Prolog, constraint programming and algebra

My collaborators and I have written two recent papers which are intended to demonstrate that logic and constraint programming are tools which need to be better known and more widely deployed in pure mathematics. Read more

Continual Learning and Its Applications

Continual learning (often termed as lifelong learning) is the process through which a learning system efficiently learns multiple tasks in succession, which is an essential requirement for Artificial General Intelligence (AGI). Read more
Last chance to apply

Machine learning algorithms for ab initio-based paramagnetic NMR analysis

The University of Bath is inviting applications for the following PhD project under the supervision of Dr Elizaveta Suturina in the Department of Chemistry. Read more

Controlled Synthesis of Virtual Patient Populations with Multimodal Representation Learning

This project invites PhD candidates who are interested in developing generative models that can deal with complex multimodal patient data, contributing to safer, better and faster innovations of medical products via in-silico trials. Read more
Last chance to apply

AI-enhanced dementia prevention: precision risk reduction using large language models, NIHR Funded PhD in Medical Studies Ref: 5100

Location. Department of Health and Community Sciences, St Luke’s Campus, Exeter. The University of Exeter’s Department of Health and Community Sciences is inviting applications for a PhD studentship funded by the NIHR to commence on the 23rd September 2024. Read more

Novel Generative Adversarial Networks for Rapid Engineering Design

Supervisory Team: Dr. David Toal. Project description. Conditional Generative Adversarial Networks (cGANs) have gained notoriety in the media for their ability to create so-called “deep fakes” but their power can also be harnessed to provide predictions of optimal engineering designs. Read more

Neural Networks for Complex Dynamical Systems

Details. Dynamical systems are often solved/integrated by a suitable numerical discretisation method in such a way that certain properties of the underlying systems will be preserved. Read more

Machine learning the dynamics of force-sensing proteins

Mechanosensing proteins detect mechanical forces within cells and convert them into biochemical signals. Understanding the dynamic behaviour of these proteins under force is key for advancing our understanding of this process called mechanotransduction. Read more

Large area 2D semiconductor platforms

Project description. Revolutionising the semiconductor industry with next generation 2D materials and devices. Moore’s Law is currently being challenged with Nvidia CEO recently claiming it is over. Read more

Causal Machine Learning in Aerospace PhD

This PhD project will investigate the recent field of study of Causal Machine Learning, which aims to modify and augment Machine Learning by using Causal Analysis techniques as a way to solve its limitations. Read more

Privacy Attacks and Defences in Federated Learning systems

  Research Group: Cyber Security
Project description. In the wake of growing data privacy concerns and the enactment of the GDPR, Federated Learning (FL) has emerged as a leading privacy-preserving technology in Machine Learning. Read more

Biometric deepfake to physical attack instrument assessment

Deepfake technologies have increased the challenges to biometric systems. Generative AI tools are rapidly advancing, enabling the creation of media tuned to descriptive parameters that can be used within injection attacks, where data are presented to the algorithm in an electronic/media format. Read more

xAI for Biometrics – Legal Presentation of Data

Increasingly AI-based biometric technologies, such as facial recognition and voice biometrics, are playing a major role in assisting public authorities to protect the public, reduce serious crime, and help safeguard vulnerable persons. Read more

Understanding Deep Learning

Supervisory Team. Antonia Marcu, Jonathon Hare. Project description. Deep Learning (DL) is a widely successful tool. However, there are many fundamental challenges left to solve in DL. Read more

AI Powered Personalized Virtual Heart Modelling

Supervisory Team: Dr Lei Li, Prof. Age Chapman. Project description. In this unique PhD project, we aim to develop advanced AI models for creating cardiac digital twins, i.e., virtual heart models. Read more

Learning for Control: Enabling Efficient Networked Autonomous Systems

Supervisory Team: Konstantinos Gatsis . Project description. There is an ongoing transformation in engineering autonomous systems that aim to achieve complex objectives with limited human intervention in applications such as robotics, self-driving cars, and industrial systems. Read more

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