PhD Studentship - QUANTIK: Quick Ubiquitous Access to Unique Tracking Information and Knowledge

Loughborough University

Application details:

Preferred Start date (if any): October 2018


Primary supervisor: Dr Diana Segura-Velandia

Loughborough University is a top-ten rated university in England for research intensity (REF2014) and an outstanding 66% of the work of Loughborough’s academic staff who were eligible to be submitted to the REF was judged as ‘world-leading’ or ‘internationally excellent’, compared to a national average figure of 43%.

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Project Detail:

Industry and manufacturing have the potential to enhance current monitoring and control systems that employ sensing systems such as RFID by allowing instant access to the information these systems collect. Emerging conversational user interfaces (CUI) such as Apple Siri® are a very powerful input/output mechanism for information/knowledge retrieval. Powered by the latest technological developments in deep learning, industrial wearables and novel CUIs need to support users to obtain information and knowledge from the diverse range of ubiquitous sensor-enabled items that are found more commonly in industrial organisations.

The Embedded Intelligent Integrated Systems Group at the Wolfson School of Mechanical, Manufacturing and Electrical Engineering 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 Embedded Intelligent Integrated Systems Group is looking for a PhD candidate with interest and skills in machine learning and conversational user interfaces. 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 mathematics and algorithms, excellent writing skills, and experience or genuine interest in intelligent multimodal advisory systems. Prior research experience in machine learning 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.

Funding information:

Please note that these studentships will be awarded on a competitive basis to applicants who have applied to this project and/or the following 30 projects that have been prioritised for funding; job advert ref: WS01 – WS30

If awarded, each 3 year studentship will provide a tax-free stipend of £14,786 p.a provisional, plus tuition fees at the UK/EU rate (currently £4,262 p.a). While we welcome applications from non EU nationals, please be advised that due to funding restrictions 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 30th April 2018.

Find out more:

For enquiries contact  indicating your areas of interest and including your CV with qualification details (copies of transcripts and certificates).

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.

Contact details:

Name: Diana Segura

Email address:

Telephone number: +44 01509 227675

How to apply:

All applications should be made online at Under programme name, Wolfson School

Please quote reference number: WS25

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Midlands of England