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PhD Studentship: Applied AI in IOT and Consumer Intelligence in Digital Finance

Loughborough University - The Institute of Digital Technologies - Loughborough University London

Qualification Type: PhD
Location: Loughborough
Funding for: EU Students, International Students, Self-funded Students, UK Students
Funding amount: £17,009 per annum
Hours: Full Time
Placed On: 17th June 2019
Expires: 16th September 2019
Reference: 2019/IDT/LUL

Application details:

Reference number: 2019/IDT/LUL
Start date: October 2019, Jan 2020, April 2020, July 2020
Interview date: TBC


Primary supervisor:  TBC
Secondary supervisor:  TBC

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%.

By choosing a doctoral programme from the Institute for Digital Technologies at Loughborough University London, you will work alongside academics who are the world leaders in their field. The Institute for Digital Technologies is actively involved in National and International research projects in various topics such as human behaviour analysis for various high-tech systems, machine learning techniques for wide variety of applications including in digital marketing for monitoring and adaptations. The use of AI with intelligent sensing IOTs forms the fundamental basis for many advanced applications areas IDT has been engaging. Other areas of IDT interests are intelligent mobility, multi-agent data analytics and modelling, immersive and interactive media, mobile 5G networking, and security and privacy.

London is one of the world’s leading hubs for international business, negotiations and trade, and is the ideal location for students to expand their knowledge, expertise and networks. Loughborough University London is surrounded by key influencers and innovators in a broad range of industries, and is just a short journey from Canary Wharf, London Bridge and Liverpool Street.

Find out more:

Project Detail:

The Institute of Digital Technologies at Loughborough University London aims to address major technological challenges by offering exciting PhD opportunities. One of the key challenges is how to apply advanced machine learning techniques to the sensed multi-modal data through various types of IoTs to understand the behaviours of ‘human-human’, ‘human-machine’, and ‘machine-machine’ interactions.

The projects expect to make strides towards understanding and applying the AI technology to the real-world problem by investigating machine and deep learning algorithms on realistic and consumer based IoT scenarios to model the used systems with reliability, accuracy, effectiveness, scalability, transferability and robustness.

Ideal candidates will have the chance to conduct innovative research with leading researchers in the following sub-areas in a loop:

  • Human-machine interaction inclusive of human behaviours recognition, monitoring, and analysis
  • Machine-machine interaction entailing object-to-object connection and automation
  • Machine-human feedings with personalised content and the consequences in economic and social aspects

The candidates with excellent qualifications and suitable background knowledge will be offered full scholarships for three years which will include the UK/EU fees and tax free £17,009 stipend per annum.

Find out more:

General information about the research agenda of the Institute for Digital Technologies can be found here:

For informal enquiries about the vacancy, please contact Professor Ahmet Kondoz (

Entry requirements:

To undertake a PhD programme across any of our institutes you must have a minimum of an upper class honours degree (2:1) or overseas equivalent in a related subject area.

Funding information:

Home/EU students will receive a full waiver, plus a tax-free stipend of £17,009. International students will receive a full fee waiver only.

Contact details:

Name: Professor Ahmet Kondoz

Email address: 

How to apply:

All applications should be made online at  Under programme name, select Digital Technologies. Please upload a research proposal with your application.

Please quote reference number:2019/IDT/LUL

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