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PhD Studentship - Human-Machine Cooperation (HMC) in Novel Urban Infrastructures

Loughborough University

Qualification Type: PhD
Location: Loughborough
Funding for: UK Students, EU Students
Funding amount: £14,777
Hours: Full Time
Placed On: 30th November 2018
Closes: 25th January 2019
Reference: WS27

Start date of studentship: 1st October 2019

Closing date of advert: 25th January 2019

Interview date: TBC


Primary supervisor: Dr Diana Segura-Velandia

Secondary supervisor: Prof. Andy West

Short Introductory Paragraph

Loughborough University is a top-ten rated university in England for research intensity (REF2014). 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.

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Full Project Detail:

Advancements in autonomous vehicles have led companies to mainly focus on increasing their computational capability and enhancing sensor systems. However, due to strict road-safety regulations, the realisation of this vehicle-centric approach may take several years to happen. Partial deployment of these vehicles impact street safety and accessibility.

To address these issues, this project focuses on creating affordable interventions to street infrastructure as way to unburden the heavy computational requirements of these vehicles. The development of a “smart” urban infrastructure such as human-machine readable traffic signs and urban tattoos can effectively allow lightweight autonomous vehicles to be widely deployed and safely operate in most urban environments.

The Embedded Intelligent Integrated Systems Group at Wolfson School works actively with industrial collaborators to develop and industrially deploy adaptive intelligent systems and their related software services (e.g. analytics, visualisation, multimodal interaction) with particular emphasis on developing methods and systems in harsh industrial environments characterised by imperfect knowledge and uncertainty.

The research topic will be specifically defined based on the background and interests of the applicant after acceptance. Applicants should have a strong background in design and or mathematics and algorithms, excellent writing skills, and experience or genuine interest in smart systems. Prior research experience in systems design, specification, validation and test and related fields will be a plus. Applicants are expected to have also a solid background in programming (e.g. C, python) and computational techniques and demonstrate an interest to work in interdisciplinary research environments.

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Entry requirements:

Applicants should have, or expect to achieve, at least a 2:1 Honours degree (or equivalent) in Computer Science, Engineering or a related subject. A relevant Master’s degree and/or experience in one or more of the following will be an advantage: robotics, computer science, applied math, electrical engineering.

Funding information:

Please note that studentships will be awarded on a competitive basis to applicants who have applied to this project and other advertised projects starting with advert reference ‘WSS’ for the School of Mechanical, Electrical and Manufacturing Engineering.

If awarded, each 3-year studentship will provide a tax-free stipend of £14,777 p/a, plus tuition fees at the UK/EU rate (currently £4,260 p/a). While we welcome applications from non-EU nationals, please be advised that it will only be possible to fund the tuition fees at the international rate and no stipend will be available. Successful candidates will be notified by 26th March 2019.

Contact details:

For enquiries please contact Dr Diana Segura-Velandia  indicating your areas of interest and including your CV with qualification details.

How to apply:

All applications should be made online at Under programme name, select ‘Electronic and Electrical Engineering’

Please quote reference number: WS27

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