PhD Lifelong learning and reasoning in foundation AI models

This project aims to extend the latest AI models to incorporate lifelong machine learning and reasoning algorithms. Such better models will support a more eco-friendly deployment of AI reducing continuous re-training energy impact and more transparency and explainability due to reasoning capabilities.

The student will be part of a growing group of researchers in machine learning and artificial intelligence in the Computer Science Department with the possibility of collaborating with other laboratories and scientists, including robotics and manufacturing facilities. Dr. Andrea Soltoggio is a Senior Lecturer and a world-leading scientist in the area of lifelong machine learning. Currently, he is leading a growing research group with the aim to advance the state-of-the-art in lifelong machine learning and its applications to real world scenarios. His collaborations include scientists in top machine laboratories in the USA and around the world. Research periods abroad for collaborations will be encouraged during the PhD studies.

Applications should have, or expect to achieve, at least a 2:1 Honours degree in Computer Science or related subjects.

IELTS - 6.5 overall with 6.0 in each individual element (reading, writing, listening and speaking).
TOEFL - iBT - Overall score of 92, with not less than 22 in each test.