AI powered sustainable manufacturing

4 Year Fully-funded PhD Studentship 

Artificial Intelligence Powered Sustainable Manufacturing

Application Deadline: Applications for this studentship are now closed
Academic Interviews: w/c 5th June 2023
Partner Interviews: w/c 12th June 2023
Start date: Monday, 25th September 2023

Industry Partner: Reckitt (

We are seeking a suitable candidate to undertake an interdisciplinary PhD studentship commencing September 2023The successful candidate will work with the multi-national company Reckitt to explore how Artificial Intelligence and other digital technologies (e.g. sensors) can be used to support current human operators to optimise manufacturing processes and deliver environmental sustainability benefits.

Reckitt manufacturing a range of products broadly across the categories of Hygiene, Health and Nutrition and this theme will focus initially on key processes such as granulation and products such as lozenges, with the options to expand to others within the business.

The research will focus on understanding the general steps required for combining sensors and machine learning within Reckitt’s manufacturing environment and how they can augment current workers to achieve quantifiable and verifiable sustainability benefits. The theme is led by David Branson who has expertise in automation, manufacturing, process optimisation and digital manufacturing with the potential to engage with supervisors working in other areas including human factors, human computer interaction, augmented and mixed realities and sustainable production.

The studentship comes with an enhanced tax-free stipend and all fees paid.  The 2023/24 stipend rate has not been confirmed by the funding body but will be in excess of £20,000 per annum. This project is open to “UK Home status” applicants only.


How to apply

For more information about the application process, including eligibility and selection criteria and the documentation you need to provide please see  How to Apply section. Please explain why your are interested in the Reckitt AI Powered Sustainable Manufacturing theme and what you will bring to the project.


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The EPSRC Centre for Doctoral Training in Horizon: Creating our Lives in Data is supported by the Engineering and Physical Sciences Research Council (EPSRC) under grant reference EP/S023305/1.