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

Mechanical, Electrical and Manufacturing Engineering
Entry requirements:
3 years
not available
Reference number:
Start date:
01 October 2018
Is funding available?
UK/EU fees:
International fees:
Application deadline:
09 March 2018



in the UK for research quality

REF 2014


in the UK for Mechanical Engineering

The Complete University Guide 2018


of 2 Queen's Anniversary Prizes


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%.

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. 

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.


Primary supervisor: Dr Diana Segura-Velandia

Secondary supervisor: TBC

Find out more

For further project details and enquiries email Diana Segura indicating your areas of interest and including your CV with qualification details (copies of transcripts and certificates) or register your interest and ask us a question.

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.

Applicants must meet the minimum English Language requirements, details available on the website.

Fees and funding


Tuition fees cover the cost of your teaching, assessment and operating University facilities such as the library, IT equipment and other support services. University fees and charges can be paid in advance and there are several methods of payment, including online payments and payment by instalment. Special arrangements are made for payments by part-time students.

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.

How to apply

All applications should be made online.  Under programme name please select Mechanical, Electrical & Electronic Engineering

Please quote reference number:  WS25

Application details

Reference number:  WS25
Start date: 01 October 2018
Application deadline: 09 March 2018