PhD Position in Computer Science, Bio-inspired AI for Edge Computing – Loughborough, England 2022

United Kingdom

Funded PhD Position in Bio-inspired AI for Edge Computing 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: Funded PhD Position
No. of Positions: 1
Research Field: , , , ,
Deadline to Apply: Expired
Joining Date: Oct 2022
Contract Period: 3 years
Salary: tax-free stipend of £15,609 per annum

Computer Science Department
Haslegrave Building
Loughborough University, United Kingdom

Loughborough, Leicestershire,

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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

The project offers an opportunity to develop techniques that lower the computational loads of existing Artificial Intelligence (AI) approaches thereby rendering them suitable for edge-devices (like drones, wearables). The research conducted in this project will advance the international reputation of the candidate and open up numerous industrial opportunities.

About the Project

This exciting and highly multidisciplinary project will develop Artificial Intelligence (AI) approaches  suitable for running on edge devices (like wearables, autonomous vehicles) with focus on drone applications. Deep learning has made tremendous progress but their applications are limited to situations with easier access to high performance computing. Edge devices often have limited power and memory bandwidth while requiring very fast responses. To put things in perspective, about 20 watts of power is sufficient to power all of our thinking which is closer to what a ceiling fan uses when running at low speed (see [1]).

This project will use the brain as an inspiration to develop bio-inspired approaches (primarily focusing on neuromorphic computing) that are efficient in terms of energy and memory requirement while exhibiting faster response times. The neuromorphic computing approaches developed in the project will increase the flying time and lower the response times for drones thereby improving their performance for tasks like search and rescue and delivery, etc. In addition, the project offers an opportunity to deploy developed AI techniques in hardware to accelerate their adoption in the real world.

The PhD student will be supported through weekly meetings and trained on industry relevant technical skills with opportunities for attending national/international conferences. We actively encourage applicants from women, disabled and BAME communities.


  1. Krichmar et al., Making BREAD: Biomimetic Strategies for Artificial Intelligence Now and in the Future, 2019.


How to Apply?

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

Application Procedure

All applications should be made online at  Under programme name, select 'Computer Science'

Please quote reference number: SD/CO/2022

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Fees and Funding

  • UK FEE: Fully funded - Full-time degree per annum
  • INTERNATIONAL FEE: Part funded - Full-time degree per annum

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.

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Contact details

If interested, please get in touch by emailing [email protected] or [email protected].

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