Fully Funded PhD in Industry 4.0 and Intelligent Future Systems

University of Sheffield

Project Description

The Advanced Resource Efficiency Centre (AREC), based at Sheffield University Management School, is seeking applications for a fully funded PhD from exceptional UK/EU/International students with an outstanding academic record (distinction/high merit or equivalent), as well as a proven record in research training.

The UK Industrial Strategy has identified priority areas where capabilities in energy, self-driving automotive, food, construction, materials and manufacturing, robotics and Artificial Intelligence (AI), aviation, healthcare, battery technology and next generation services are to be supported in industry. This studentship will focus on advancing the understanding of how digitalisation transforms industry and future supply chain, investigating the transformation of future supply chain into intelligent future systems by exploring the role of Industry 4.0 and Internet of Things (IoT). How data will be valued, why ethics will be key, what social valuation are put upon disruptive digital technology, the co-existence model of man-machine to understand the future machine economy are also areas of investigation. The research will integrate management theories and apply technology advances to deliver new tools, and understand the societal and humanity implications from these advances. Possible projects may include:

  • New business model and indicators for managing supply chains transition to Industry 4.0 and intelligent future systems (focus on global, cases include major industry from our existing network, data analytics and value assessment)
  • New forms of decision support methodology and tools for Industry 4.0 and intelligent future systems (focus on global, involves Microsoft)
  • Intelligent future systems: valuation of behavioural and social interactional management processes (focus on impact from autonomous vehicles, AI and robotics cases)
  • Data learning and Cloud-based intelligence sharing towards future inclusive autonomous resource management systems: a techno-societal transformation (focus on global, cases include social media type sentiment and AI for industry and management science of communication and decision, involvement of companies such as Microsoft and Amazon)

The supervisory team may include two of the following academics: Professor Lenny Koh, Dr Andrea Genovese, Dr Sonal Choudhary, Professor David Oglethorpe, Professor Andrew Simpson, Dr Erica Ballantyne, Dr Chantal Cantarelli, Dr Antonino Sgalambro, Dr Mike Simpson, Dr Rob Marchand, Dr Andrew Brint, Professor John Cullen, Professor Jonathan Linton, Dr Stuart Maguire, Professor Elaine Toms, Professor Panos Ketikidis. The selection of supervisors would depend on which project(s) is pursued and staff availability.

Application Process:

Applicants should submit a 1000 word research proposal. The proposal should contain a brief background to the topic, which demonstrates knowledge of existing work in the field, and potential contributions to knowledge. It should also explain the proposed research methods and include a plan of the research, and a timeline. 

Closing date for applications is 17.00 (UK time) on Friday 13 July 2018. Interviews will be held week commencing 6 August 2018

For more information and to submit an application, visit www.sheffield.ac.uk/management/study/researchdegrees/fundedprojects

Funding Notes:

This scholarship is offered on a full-time basis from September 2018 for three years subject to satisfactory progress. It will provide an annual tax free bursary of £14,777 and cover the University tuition fees for UK/EU/international students.

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Northern England