Computer Science: Fully Funded PhD at Swansea: Explainable artificial intelligence

Overview

Description

The number of scientific papers published is increasing rapidly every year. The overwhelming volume of the literature makes it challenging to keep up with the latest research and developments. Working closely with the project partner QinetiQ, this project will combine state-of-the-art machine learning methods, natural language models and image recognition to develop a human-in-the-loop system for systematic reviews and predictive analytics. They envisage that the system will be able to collate and analyse a significant amount of research publications. Furthermore, they expect the system to quantify and extrapolate research trends that may have significant impacts on technology development. Our key objectives are:   

Optimise an automated systematic review system that integrates texts, figures and tables from scientific publications and other credible sources;

Develop and validate deep neural network models that predict scientific trends and their impacts;

Deliver an integrated interface that renders model outputs with explainability, transparency and efficiency.

Applicable programmes

Benefits

This scholarship covers the full cost of UK tuition fees and an annual stipend at UKRI rate (currently £18,622 for 2023/24).

Additional research expenses will also be available.