This opportunity is for Postgraduate Researchers who began receiving Doctoral Training Partnership (DTP) funding in or after Autumn 2024 to undertake a Research in Practice (RinP) placement as part of their studentship.
Key Placement Information
Closing Date
Rolling deadline, however, applications invited ASAP
Start Date
Flexible
Duration
3-months
Full-time or Part-time
Full-time preferred
In Person, Online or Hybrid
Flexible
Job Sector
Public
Project Areas
Research, Literature Review, Stakeholder Engagement
How to Apply
Send a CV and cover letter
Project Description
A cross-disciplinary group within The University of Sheffield is planning a large multi-national project relating to Artificial Intelligence (AI) for Manufacturing.
Whilst it has been proposed that AI techniques have the potential to revolutionalise manufacturing, there remain many unanswered questions in this area. For example, how and when can AI be used to its greatest effect? What can be achieved using existing tools and frameworks, and where do we need to develop entirely new approaches? What are the potential ethical concerns, and how do we manage them?
The overall aim of the project is to develop a detailed, and in-depth, understanding of the current landscape relating to the use of Artificial Intelligence for Manufacturing. It is anticipated that multiple placements can be offered around this theme, which may include analysis of policy, identification of broad trends with respect to geographical location, size and type of industry, or of more detailed academic literature.
The outputs you produce will form the basis of conversations with other stakeholders (industrialists, networks etc.) via one or more stakeholder roundtables. Where possible you will be asked to present your findings directly to these groups.
Previous experience related to manufacturing, AI, or Information Management may be some benefit, but is not essential for success in this role.
In addition to a report on the findings of the work, the expected deliverables will to a large extent depend on the specific direction agreed with the Postgraduate Researcher. Example outputs may include:
- Sections for inclusion in the background section of the funding proposal, to contextualise the need for the work proposed.
- Development of an annotated reference library to share publicly in order to support.
- Identification of other potential stakeholders for inclusion.
- Design of an infographic to summarise the current state of AI in Manufacturing.
