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PhD: Lifelong Machine Learning for Medical Data and Personalised Medicine

 

PhD: Lifelong Machine Learning for Medical Data and Personalised Medicine

Computer Science                ·                Loughborough                ·                Part time / Full time

 

 Lifelong machine learning for medical data and personalised medicine

 

About the Project

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.

 

94% of Loughborough’s research impact is rated world-leading or internationally excellent. REF 2021

 

Supervisors

Primary supervisor: Andrea Soltoggio

Primary supervisor email address: a.soltoggio@lboro.ac.uk

Primary supervisor telephone number: +441509645748

Secondary supervisor: Alexandra Stolzing

 

Entry requirements

Applicants should have, or expect to achieve, at least a 2:1 Honours degree in computer science or related subjects. 

 

How to apply

All applications should be made online. Under programme name, select Computer Science. Please quote the advertised reference number: SCI24-AS in your application.

To avoid delays in processing your application, please ensure that you submit a CV and the minimum supporting documents.

 

The following selection criteria will be used by academic schools to help them make a decision on your application.

 

Apply now

 

Funding Notes

The studentship is for 3 years and provides a tax-free stipend of £18,622 per annum for the duration of the studentship plus university tuition fees.
Please note that studentships will be awarded on a competitive basis to applicants who have applied to this project and other advertised projects starting with advert reference ‘SCI24-’ in the School of Science. Successful candidates will be informed during April 2024.

 

Please click here to apply.

 

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