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PhD Studentship: Development of a tool to formulate artificial intelligence implementation roadmaps for SMEs

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  • Full or part time
    Dr U Jayawickrama
  • Application Deadline
    No more applications being accepted
  • Self-Funded PhD Students Only
    Self-Funded PhD Students Only

About This PhD Project

Project Description

Application details:
Reference number: SBEUJ-CH20
Start date of studentship: 01 October 2020
Closing date of advert: 03 April 2020
Interview date: TBC

Primary supervisor: Dr Uchitha Jayawickrama:
Secondary supervisor: Professor Chris Holland

There are a few SMEs particularly medium-sized enterprises who are tapping into AI for business excellence. With the rapid advancement of technology, use of AI is becoming not only limited to large organisations. The adoption of AI will be a must for SMEs in no time. Therefore, this project will help to bridge the lack of digitalisation in SMEs by enabling applications of AI in SMEs which is a high national and international importance. Thereby, you will be able to get involved in one of the very few projects which investigates on this niche area of AI in SMEs. This will be a great chance to take part in a project that will have real world impact. This project and the chance to work with world-leading experts will help to upskill yourself and career progression.

Loughborough University

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

Over 99% of businesses in the UK and European Union (EU) are SMEs according to the EU definition, which states that they have employee numbers of between 0 and 249, along with an annual turnover not exceeding €50 million. In 2018, 82% of SMEs lack skills, resources and knowledge of planning and adopting advanced technologies such AI at the right time of the organisational lifecycle. Hence, there are massive inefficiencies and wastage in operating in a dynamic business environment, eventually leading to bankruptcy. Therefore, it is important to identify and prioritise applications of AI that highly affecting on SMEs and going further to develop a parametrised software tool to formulate AI implementation roadmaps for SMEs to overcome business failures and minimise cost of operation. This study aims to develop the abovementioned software tool to formulate AI implementation roadmaps for SMEs. The study has a greater impact on SMEs in defining their future and understand the right route to be taken in achieving business goals using AI.

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Entry requirements

UK master’s degree (with average programme mark of no less than 65%) or international equivalent. English language requirement of IELTS band 7.0 or above with not less than 7.0 in each component.

Contact details

Name: Dr Uchitha Jayawickrama
Email address: [Email Address Removed]

How to apply

All applications should be made online at Under programme name, select Business School. Please upload with your application, a maximum of 2-page evidence-based statement on how your skill set and experience would help to conduct this research study successfully, latest CV, copies of your transcripts/certificates, English language certificate and two academic references.

Please quote reference number: SBEUJ-CH20

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