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  Development of a Distributed and Scalable Testbed for UAVs


   Applied Sciences

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  Prof Fergal McCaffery, Dr Muhammad Adil Raja  No more applications being accepted  Funded PhD Project (Students Worldwide)

About the Project

Dundalk Institute of Technology - Regulated Research Software Centre

Project Description

Keywords: Computer Science, Artificial Intelligence, Evolutionary Robotics

The development of UAVs using flight simulators and machine learning (ML) algorithms requires dovetailing of both types of systems. The ideal testbed should hide the complexity of integrating and manipulating complex systems such as flight simulators and ML algorithms. Instead of that, they should offer them a user-friendly environment to simulate fleets of autonomous, self-coordinating UAVs.

This research proposal has the following aims and objectives. 

·     To develop a distributed and scalable simulation testbed for UAVs that can take advantage of the newly emerging high-performance computing technologies such as cloud computing and big data. 

·     To develop a framework for integrating UAV simulation software with various machine learning software for agile development of controllers for UAVs. 

·     The proposed testbed shall itself be general-purpose. To this end, it shall be able to develop fleets of intelligent UAVs for any user-specified problem. 

Informal enquiries relating to the project should be sent to [Email Address Removed]. Please note, canvassing will render a candidate ineligible.

Candidate Requirements:

Candidates should hold a minimum 2:1 Honours Degree in computer science and/or engineering.

Experience of computer programming and the ability for problem solving thinking using machine learning algorithms would be advantageous

It is also a requirement that any applicant whose first language is other than English must have a certified English language proficiency of at least IELTS 6.5 or equivalent.

How to Apply

Applicants forward a copy of your CV and a one-page cover letter outlining (i) your suitability for this position and (ii) your motivation for applying, to [Email Address Removed]. Please use the Position Reference 17STEM2021 in the email subject.

The deadline for receipt of applications is 4 pm (GMT) on Monday March 14th 2022.

DkIT reserves the right to extend this deadline

Computer Science (8) Engineering (12)

Funding Notes

This full-time PhD studentship comprises an annual stipend of €18,500 for 3 years, postgraduate fees and a contribution towards direct research costs.
This scholarship is co-funded by the Higher Education Authority's Technological University Transformation Fund and DkIT.
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