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agent PhD Projects, Programmes & Scholarships
We have 130 agent PhD Projects, Programmes & Scholarships
Agent-based cyber-physical production systems for Industry 4.0
Research Group:
Applied Computing
This project aims to develop novel methods and software tools for the implementation of highly adaptive multi-agent systems for manufacturing control, applying plug-and-produce technology to cyber-physical systems. Read more
Delegation in Complex Conflicts
In the last decade, principal–agent theory has almost completely dominated theorizing on conflict delegation. Although not without criticism, it is fair to say that principal– agent theory has become the dominant framework through which we have come to study external support to non-state armed groups. Read more
Risk aware planning for multi agent systems PhD
This is an exciting opportunity for a Self-funded PhD studentship in the Centre for Autonomous and Cyber-Physical Systems associated with the Faculty of Engineering & Applied Sciences at Cranfield University, UK to develop an autonomous Multi-agent systems equipped with risk-averse obstacle avoidance capabilities. Read more
Agent-Based and Machine Learning Models for understanding the Economic Impacts of AI and/or the Green Transition
Research Focus. Economies worldwide are undergoing transitions driven by new technologies and the move toward a green economy. These transitions, if not done carefully managed, can increase inequality and political polarisation, but under the right policies they can contribute to a more equitable and prosperous future. Read more
Decentralised and Fair Energy Allocation Systems
The national grid is increasingly struggling to cope with the increasing renewable energy supply, as well as the increased demand from electric vehicles. Read more
Explaining Multi-agent Systems
Understanding large complex systems allows us to closely mirror numerous natural and man-made phenomena, from the flocking behavior of birds to the flow of traffic in dense urban areas. Read more
Cooperative Alignment via Multi-agent Reinforcement Learning (S3.5-COM-Loftin)
Deep reinforcement learning (RL) refers to a class of state-of-the-art machine learning algorithms that use deep learning (i.e., neural networks) to solve long-term decision-making problems. Read more
An agent-based modelling approach to assess the decision-making strategies in community-scale flood resilience
Flooding is a natural disaster that can have severe consequences for communities, causing damage to infrastructure and homes and even leading to loss of life (Auliagisni et al., 2022). Read more
PhD+ Studentship: Automated deployment of competitive autonomous vehicles for aircraft service delivery
Aston University is launching a pioneering, fully-funded doctoral scholarship scheme designed to equip researchers with the skills that are crucial for success in the digital age and to meet the demands of the new industrial revolution powered by technology. Read more
Last chance to apply
Optimising dynamic scheduling in smart manufacturing through reinforcement learning PhD
This PhD aims to develop an adaptive self-organising solution for dynamic scheduling in job-shop manufacturing. The research will introduce an innovative approach that integrates deep reinforcement learning and multi-agent systems to rapidly respond to emergencies and disruptions. Read more
Multi-agent Deep Reinforcement Learning Assisted Vulnerability Assessment and Defense Framework for Digital Twin-Enabled Industrial Systems (S3.5-COM-Pasikhani)
As industries adopt automation and digital twin technologies, they become increasingly vulnerable to sophisticated cyber-attacks. Read more
GEMS Topic: AI-Driven Incidental Detection of Unruptured Intracranial Aneurysms: Development of a Multi-Agent Reinforcement Learning Tool for Enhanced Neuroimaging
Incidental detection of unruptured intracranial aneurysms (UIAs) has become more critical with advancements in imaging technologies. Read more
Unified Control of Hybrid Energy Smart Grids using Graph Theory, Automata and Multi Agent Systems
Renewable energy sources (RES) are a proven tool in reducing harmful green house emissions. The usage of RES as well as energy storage have transformed the energy sector and now new topologies such as smart grids are fast replacing traditional power networks. Read more
PhD position in reinforcement learning and multi-agent reinforcement learning
The successful applicants will join the University of Edinburgh, Heriot-Watt University, and Leonardo Ltd, one of the UK's leading aerospace companies and one of the biggest suppliers of defence and security equipment to the UK. Read more
Modelling landscape-level approaches for mitigating the evolution of pesticide resistance
Food security is a global challenge reflected across two United Nations Sustainable Development Goals (SDGs 2 & 3). One critical component to meeting this challenge is the management of agricultural pests. Read more