Academic Jobs

PhD Position in Computer Science, Lifelong Learning Neural Systems – Loughborough University, England 2022

Loughborough University, United Kingdom

Funded PhD Position in Computer Science, Lifelong Learning Neural Systems for a Master’s degree and/or experience in artificial intelligence, neural networks, robotics is available at the Department of Computer Science, Loughborough University, England 2022

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General Info

Position: PhD Posiiton
No. of Positions: 1
Research Field: , ,
Joining Date: Oct 2022
Contract Period: 3 years
Salary: tax-free stipend of £15,609 per annum

Workplace:
Computer Science
Loughborough
Loughborough University
Leicestershire, United Kingdom

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Qualification Details

Entry Requirements

Applicants should have, or expect to achieve, at least a 2:1 Honours degree (or equivalent) in computer science or a related subject. A relevant Master’s degree and/or experience in one or more of the following will be an advantage: artificial intelligence, neural networks, robotics.

Our entry requirements are listed using standard UK undergraduate degree classifications i.e. first-class honours, upper second-class honours and lower second-class honours.

To learn the equivalent for your country, please check it the advertisement university page.

English language requirements

Applicants must meet the minimum English language requirements. Further details are available on the International website.

Responsibilities/Job Description

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.

Find out more

About the Project

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 Ph.D. 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

Supervisors

How to Apply?

Application Method: Online Application
Ref. No.: AS/CO/2022

Application Procedure

All applications should be made online.  Under programme name, select 'Computer Science'. Please quote reference number: AS/CO/2022.

About the Employer: Loughborough University

Note or Other details

Fees and Funding

Tuition fees cover the cost of your teaching, assessment and operating University facilities such as the library, IT equipment and other support services. University fees and charges can be paid in advance and there are several methods of payment, including online payments and payment by instalment. Fees are reviewed annually and are likely to increase to take into account inflationary pressures.

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.

for more details about the funding click here


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Contact details

If interested, please get in touch by emailing a.soltoggio@lboro.ac.uk or s.dora@lboro.ac.uk.

for web chats: https://www.lboro.ac.uk/study/postgraduate/events/web-chats/

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