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PhD Studentship: Lifelong Learning Neural Systems

Loughborough University

Qualification Type: PhD
Location: Loughborough
Funding for: UK Students, EU Students, International Students
Funding amount: £15,609 p.a.
Hours: Full Time
Placed On: 11th January 2022
Closes: 30th April 2022
Reference: AS/CO/2022
 

Application details:

Start date of studentship: Oct 2022

Closing date of advert: 30th April 2022

Interview date: 15th May 2022

Supervisors:

Primary supervisor: Dr. Andrea Soltoggio

Secondary supervisor: Dr. Shirin Dora

Short Introductory Paragraph

We are seeking excellent candidates to advance core AI research in the area of lifelong learning machines. This new field of AI seeks to create machines that learn during a lifetime similarly to biological brains. This research continues and advances recent progress from the DARPA-funded Lifelong Learning Machines (L2M) and Shared Experience Lifelong Learning (ShELL) projects. Collaboration opportunities with world-leading AI laboratories will be encouraged and supported.

Loughborough University is a top-ten rated university in England for research intensity (REF2014). In choosing Loughborough for your research, you’ll work alongside academics who are leaders in their field. You will benefit from comprehensive support and guidance from our Doctoral College, including tailored careers advice, to help you succeed in your research and future career.

Find out more: http://www.lboro.ac.uk/study/postgraduate/supporting-you/research/

Full Project Detail:

The ability to learn over a lifetime, building on previous knowledge, and increasing performance over many tasks is a defining ability of biological systems. On the contrary, artificial neural systems mostly lack this ability because they are best suited to learn only one task and forget past knowledge. This PhD aims to advance core scientific methods to create lifelong learning machines, particularly in the context of learning agents in reward-based environments. The aim is to create systems that can continuously learn over a lifetime and during deployment, in a variety of tasks and contexts.

Find out more:

You can read more on this research topic in the review paper “Born to Learn” at https://arxiv.org/abs/1703.10371 and this article on Shared Experience Lifelong Learning https://www.azorobotics.com/News.aspx?newsID=12518

Entry requirements:

Applicants should have, or expect to achieve, at least a 1:1 Honours degree (or equivalent) in Computer Science, Mathematics, or a related subject. A relevant Master’s degree and/or experience in one or more of the following will be an advantage: Computer Science, Machine Learning.

Funding information:

Please note that studentships will be awarded on a competitive basis to applicants who have applied to this project and other advertised projects within the School. Funding decisions will not be confirmed until early 2022. The studentship is for 3 years and provides a tax-free stipend of £15,609 per annum for the duration of the studentship plus tuition fees at the UK rate. International (including EU) students may apply however the total value of the studentship will cover the International Tuition Fee Only.

Contact details:

Name: Andrea Soltoggio            

Email address: a.soltoggio@lboro.ac.uk

Telephone number: 01509635748 

How to apply:

All applications should be made online at http://www.lboro.ac.uk/study/apply/research/. Under programme name, select Computer Science.  

Please quote reference number: AS/CO/2022

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