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Computational Intelligence based optimisation of drones positions for disaster management applications

Fully Funded PhD project (Start date: February 2018)


Project description

This project will investigate, select and apply appropriate computational intelligence (particularly nature-inspired paradigms) and multi-criteria evaluation techniques for the optimisation of drones positioning and movement in disaster scenarios, within a simulated environment. 
A key scientific challenge will be to achieve high level of optimisation performance based on multiple objectives, in such a dynamic environment.
This research project will build on an existing collaborative project (with University of Seville, Spain) which involves the use of artificial intelligence methods, namely genetic and other evolutionary computing algorithms, for the efficient and dynamic adjustment of the locations of drones for natural disaster management, using simulation scenarios. 
Your background

Good first degree in computer science, software engineering, computer engineering or other numerate discipline e.g. electronic engineering with a significant computer programming content or MSc in computer science / artificial intelligence.

Good scientific programming skills (e.g. Python, Matlab or C++ )
Familiarity with Artificial Intelligence especially evolutionary algorithms and/or machine learning
Some familiarity with network simulation and/or Ad hoc networks
Positive attitude towards working as part of a collaborative research project.
You should include

A brief CV (no more than 2 pages)

A two page outline of your proposed research project based the topic described above.
Register your interest 
Expressions of interest should be sent to Prof. Hissam Tawfik (h.tawfik@leedsbeckett.ac.uk) by 17 November 2017.

Application Deadline

30 November 2017.

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