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Computational Intelligence based optimisation of drones positions for disaster management applications

Fully Funded PhD project (Start date: October 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.

Register your interest

Expressions of interest should be sent to Prof. Hissam Tawfik (h.tawfik@leedsbeckett.ac.uk) by 31st May 2018, you will then be sent an application pack. 

Application Deadline

  • 15 June 2018. 

Finance

Each studentship will have:

  • A stipend of £14,553 paid monthly (amount conditional as offered) and exempt from UK
  • Income Tax and National Insurance
  • A tuition fee waiver

Length of Studentship

The PhD studentship is for a period of 3 years full-time study. Annual renewal will be subject to satisfactory progress.

Start date and Induction

The start date of the studentship is October 2018. The successful candidate will attend a compulsory induction at the beginning of February at Leeds Beckett University.

Part of the Research Culture

We expect bursary students to be an integral part of the research culture of the university, contributing to seminars and conferences, perhaps to projects, and generally engaging in the exchange of ideas. Associated with this, all research students undertake a research training programme.

Overseas’ Applicants

Prospective students from outside of the UK and EU who wish to apply to study at Leeds Beckett University will be required to make up the difference annually between the UK/EU fees to be paid by the University of £4,121 and overseas’ fees of £11,800. The fee difference must be paid prior to starting. Overseas applicants must refer to the UKBA regulations on studying in the UK and contact Research Admissions - telephone: +44 (0)113 812 5385 before submitting.

Applicants should apply through Leeds Beckett graduate school: Researchadmissions@leedsbeckett.ac.uk.

Applicants should submit the following:

  • A completed application form and a full CV
  • A two page outline of your proposed research project based the topic described above
  • Copy of Photo page from passport
  • Certificates and transcripts
  • Proof of English (for EU/international applicants only IELTS, PEARSON OR TOEFL)
  • Ensure all sections of the application are completed
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