The Wolfson School of Mechanical, Electrical and Manufacturing Engineering has seen 100% of its research impact rated as ‘world-leading’ or ‘internationally excellent’, underlining the wide-ranging positive impacts that our research has on the world (REF, 2021).
In choosing Loughborough for your research, you’ll work alongside academics who are leaders in their field. You will benefit from comprehensive support and guidance from our Doctoral College, including tailored careers advice, to help you succeed in your research and future career. Find out more.
PROJECT DETAILS
Drone technology is developing at speed and application areas are constantly emerging. We know that for such technology to be successfully implemented, we need to appreciate the perception and potential impact for all stakeholders (not just operator/ user/ owner/ customer). Without acceptance from these stakeholders, operational efficiency is incidental. To tackle such a problem requires a multidisciplinary approach.
This work builds on existing research and is supported by expertise in the application and use of drone technology in marine environments, technology acceptance and working with socio-technical systems. The output from such work has the potential to provide impact across all of the key research priority areas of Wolfson School of Mechanical, Electrical and Manufacturing Engineering (connected infrastructure, digital manufacturing, net zero and sports engineering and human factors).
We are happy to discuss specific direction of the research, within this general scope, with the successful candidate and will endeavour to support access to relevant equipment, facilities and stakeholders where possible (and the supervisors have a number of active research projects, which could support the work, such as the Made Smarter Innovation: Centre for People Led Digitalisation.
SUPERVISORS
Primary supervisor: Ella-Mae Hubbard
Secondary supervisor: Paul Lepper
Entry requirements for United Kingdom
We are looking for students with a background in ergonomics, human factors, systems engineering or psychology, and an interest in the implementation of such theory in an engineering or technology implementation. Candidates should have (or expect to achieve) at least 2:1 bachelor's/ master's (or equivalent).
We expect successful candidates to be familiar with a range of data collection and statistical analysis methods, although support and training in research methods would be provided. Candidates should be keen and enthusiastic to engage with a range of stakeholders. Fieldwork may be necessary – supervisors will support successful candidates to secure funding to cover costs of this where possible.
English language requirements
Applicants must meet the minimum English language requirements. Further details are available on the International website.
HOW TO APPLY
All applications should be made online. Under programme name, select 'Mechanical, Electrical and Manufacturing Engineering'. Please quote the advertised reference number: P2SAM22-10 in your application.
To avoid delays in processing your application, please ensure that you submit the minimum supporting documents.
Apply now
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