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PhD Studentship: Lifelong Machine Learning for Medical Data and Personalised Medicine

Loughborough University - Computer Science

Qualification Type: PhD
Location: Loughborough
Funding for: UK Students, EU Students, International Students
Funding amount: Fully Funded
Hours: Full Time, Part Time
Placed On: 28th November 2023
Closes: 29th February 2024
Reference: SCI24-AS
 

The use of Artificial Intelligence in medicine is growing fast with diffusion of advanced machine learning technologies and available medical data. However, several limitations affect the effective use of AI. One limitation is the inability of current systems to learn progressively during a lifetime, exchange knowledge with similar systems, and build expertise over long periods, as do human medical doctors.

This project aims to advance lifelong machine learning in medical data and personalised medicine applications. In particular, we will investigate the use of bio-inspired and statistical approaches to enhance state-of-the-art deep neural networks to cope with continuous and personalised stream of data. Further information can be found on this Nature Machine Intelligence article: https://bit.ly/47xEJ6X

The student will be part of a growing group of researchers in machine learning and artificial intelligence in the Computer Science Department. The interdisciplinary project will be conducted in collaboration with other research teams across other departments to support the research with expertise in biochemistry and medicine.

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.

Loughborough University has an applied research culture. In REF 2021, 94% of the work submitted was judged to be top-rated as 'world-leading' or 'internationally excellent'.

We are a community based on mutual support and collaboration. Through our Doctoral College there are continual opportunities for building important research skills and networks among your peers and research academics.

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