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We have 138 agents PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships
agents PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships
We have 138 agents PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships
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Automatic Testing and Fixing Learning-based Conversational Agents with Knowledge Graphs
This project is part of a unique cohort based 4-year fully-funded PhD programme at the. UKRI Centre for Doctoral Training in Safe and Trusted AI. Read more
Safe Reinforcement Learning from Human Feedback
This project is part of a unique cohort based 4-year fully-funded PhD programme at the. UKRI Centre for Doctoral Training in Safe and Trusted AI. Read more
A novel framework for engineering swarm agents and their controllers
Background. Swarm algorithms offer a number of promises in the form of multiple agents working together to achieve a task, robustness against disturbances and multiple sensing agents to digitise the environment to mention a few. Read more
Inferring through interaction the behaviour of real or simulated agents
This project strives to advance Turing Learning which is a family of machine learning methods for behavioural inference that do not rely on similarity metrics (. Read more
A game theoretical approach to normative multi-agent systems
Multi-agent systems study environments that consist of a number of agents who interact with each other to achieve individual and system goals. Read more
Control of multi-agent systems using continuum mechanics modelling
A multi-agent system is a group of interacting dynamical systems. Famous examples are robot swarms, smart grids, traffic flows, communication networks, and transportation systems. Read more
Developing cost-effective and eco-friendly antiviral nano-agents
Humans have been fighting viruses throughout history, from smallpox, Ebola, HIV to SARS, MERS and Zika, which have costed billions of lives and made severe socio-economic impacts irreversibly. Read more
Engineering Networked Machine Learning via Meta-Free Energy Minimisation
Inspired by neuroscience, informed by information-theoretic principles, and motivated by modern wireless systems architectures integrating artificial intelligence (AI) and communications, this project sets out to develop a paradigm-shifting framework for networked machine learning (ML) that is centred on the following ideas. Read more
Utilisation of novel approaches in the bioprospecting of extreme habitats for novel antimicrobial agents. (ref: SF22/HLS/APP/ALJONES)
Since the discovery of penicillin, bioactive compounds have been sourced from microorganisms, which has led to the development of the majority of our antimicrobial agents. Actinomycetes are the most prolific producers of well-known antibiotics in clinical use, such as Rifampicin and Streptomycin. Read more
The development of new antiviral agents targeting HIV-1
Even before the current global COVID-19 pandemic, the threat posed to human health by viruses was extensive and although significant progress in targeting some viruses (e.g., HIV-1 and hepatitis C) has been made, challenges remain. Read more
Synthesis of New Anti-Cancer Agents and Pharmacogenomics of BRCA-mutated Cancers in the Qatar Population
The group has published on the discovery of heterocyclic quinone anti-cancer agents with specificity towards hypoxic cells associated with solid tumours… Read more
Inorganic chaperones fused to fungal derived chemotherapeutic agents for the treatment of neuroblastoma
This is a unique and cutting-edge PhD research opportunity in the multidisciplinary field of nanotechnology for a student with a strong background in chemistry / biochemistry interested in applying knowledge and developing drugs and drug delivery systems for cancer chemotherapy. Read more
Hierarchical reinforcement learning
One of the most fundamental problems in artificial intelligence (AI) is how to enable autonomous development of action hierarchies, in other words, how to endow artificial agents with the ability to autonomously form useful high-level behaviours (for example, grasping) from existing behavioural units (for example, primitive sensory and motor actions available to a robot). Read more
Economics and Computational Analysis of Game Theory and Mechanism Design
From incentive engineering in the sharing economy to ensuring fairness in resource allocation, the traditional economy is reflected in new forms on the internet. Read more
Dealing with Imperfect Rationality in AI Systems
This project is part of a unique cohort based 4-year fully funded PhD programme at the. UKRI Centre for Doctoral Training in Safe and Trusted AI. Read more