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We have 46 Artificial Intelligence (behaviour) PhD Projects, Programmes & Scholarships

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Artificial Intelligence (behaviour) PhD Projects, Programmes & Scholarships

We have 46 Artificial Intelligence (behaviour) PhD Projects, Programmes & Scholarships

Advanced Behaviour and Face analytics in XR

Improvements in computer vision, and deep learning advancements, along with the introduction of smart devices and powerful computers, have stimulated research interest in the field of real-time scene analysis. Read more

Development of a collaborative robot – human-robot collaboration

Robots work effectively in factories. For example, in car factories, huge robotic arms pick up car parts and join them to the skeleton of the car, working at less than millimetre and millisecond precision. Read more

Exploring Artificial Intelligence to Develop the Analysis of Acoustic and Archival Telemetry Data: Unveiling Insights into Shark Movement

 . *Please note that the closing date for this project has been brought forward* . The novel integration of artificial intelligence (AI) in analysing telemetry data represents a paradigm shift, offering unprecedented insights into fish behaviour and responses to environmental changes. Read more

Zero Trust Automation: Advancing Security with AI-based Intrusion Detection System

We are seeking an exceptional PhD candidate to join our cutting-edge research projects aimed at developing innovative solutions to enhance cyber security with deep learning-based continuous monitoring and response systems for real-time security incident detection and response in zero trust environments. Read more

Formal Verification of Robot Swarms

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
Last chance to apply

Spatial orientation changes and their impact on driving in ageing and dementia (HORNBERGERM_U24DACFMH)

The PhD project will be supervised by Prof. Michael Hornberger (dementia neuroscientist, University of East Anglia). Please contact the supervisor at m.hornberger@uea.ac.uk for further information on the project. Read more

Enhancing long-term evaluation and monitoring of responsible AI deployments in medical context

The University of Aberdeen is an internationally recognised centre for excellence for research addressing the global challenges of energy transition, environment and biodiversity, social inclusion and cultural diversity, health, nutrition and wellbeing, and data and artificial intelligence. Read more

Responsible virtual assistant for effective marketing communication

This self-funded Ph.D. opportunity seeks to contribute to current research in the field of marketing communication, Artificial intelligence (AI) related technologies, and consumer behavior and well-being. Read more

Influence Maximisation and Counter-Narratives for Mitigating Harmful Viral Posts in Social Networks

Aim and Goals. The core objective of this PhD research project is to delve into the intricacies of Influence Maximization (IM) within social networks, thereby identifying influential users capable of spreading messages effectively across these platforms. Read more

PhD in Thermal route optimization of predictive controls to improve BEV efficiency using AI & ML

Route information has significantly improved the optimization of hybrid vehicle propulsion by determining the most efficient power source for different parts of a journey. Read more

Computer Vision with Deep Learning for Human Data Modelling

This project is focused on learning algorithms to model human data such as human images/video, 3D skeletal motion, 3D body/facial surfaces for computer vision tasks such as recognition, prediction and reconstruction. Read more

INSEAD PhD in Management

INSEAD PHD POSITIONS IN MANAGEMENT (FULL-TIME STUDIES, WITH SCHOLARSHIPS) for the mid-August 2025 intake. INSEAD, one of the world's leading and largest business schools, is looking for 16–18 bright potentials to join its premier PhD in Management programme in the following areas. 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

Photo-chemical adaptive integrated circuits for next generation neuromorphic computing

Neuromorphic computing, i.e., an approach to information processing inspired in basic morphology and working principles of the brain, is a rapidly growing area of research due to the availability of high-speed hardware and need for artificial intelligence (AI) systems across a wide range of applications. Read more

Model Predictive Control for Autonomous Vehicles and Robots [SELF-FUNDED STUDENTS ONLY]

  Research Group: Visual Computing
Model predictive control (MPC) is a family of modern control methods that have demonstrated impressive performance in a variety of scenarios, including in robotics and autonomous vehicle control. Read more

Model Predictive Control for Autonomous Vehicles and Robots

  Research Group: Visual Computing
Model predictive control (MPC) is a family of modern control methods that have demonstrated impressive performance in a variety of scenarios, including in robotics and autonomous vehicle control. Read more

Quantum Leap in Medical Diagnosis: Advanced Magnetic Resonance Spectroscopy for Metabolite Quantification [SELF-FUNDED STUDENTS ONLY]

Magnetic resonance spectroscopy (MRS) offers a powerful, non-invasive window into the body's biochemistry. By analyzing the unique spectral signatures of small molecules called metabolites, involved in essential cellular processes, MRS has the potential to revolutionize disease diagnosis. Read more

Quantum Leap in Medical Diagnosis: Advanced Magnetic Resonance Spectroscopy for Metabolite Quantification

Magnetic resonance spectroscopy (MRS) offers a powerful, non-invasive window into the body's biochemistry. By analyzing the unique spectral signatures of small molecules called metabolites, involved in essential cellular processes, MRS has the potential to revolutionize disease diagnosis. Read more

Argumentative Machine Learning

Project description. AI has made significant progress in recent years and has become a part of our daily lives, for instance in the form of virtual assistants, smart homes, and advanced driver assistant systems in cars. Read more

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