Postdoctoral AKT Associate

The Royal College of Art (RCA) and Dressipi Ltd. are seeking a highly motivated Postdoctoral AKT Associate to lead a collaborative project aimed at improving range planning and allocation across fashion retailers using Artificial Intelligence (AI) and Machine Learning (ML) technologies. This exciting 4-month opportunity is part of an Accelerated Knowledge Transfer (AKT) programme designed to reduce inefficiencies and overproduction in the fashion industry., + Develop and evaluate AI/ML models for fashion retail optimisation.
+ Leverage large datasets to identify trends and inefficiencies in clothing production.
+ Work collaboratively with RCA and Dressipi teams to deliver project outcomes.
+ Produce project outputs, including reports and presentations.
Requirements
+ PhD in data science, machine learning, or a closely related discipline (or a Master's with significant experience).
+ Strong background in AI/ML, data analysis, and research integrity.
+ Excellent communication and stakeholder collaboration skills.
+ Must be eligible to work in the UK and available to start by 31/10/2024.
+ Interviews - 25/10/24 or 28/10/24
About the Partnership
This role is part of a partnership between RCA's School of Design and Dressipi Ltd., a company focused on transforming the fashion industry through AI and personalised retail experiences.

RCA Benefits available here: https://www.rca.ac.uk/more/work-at-the-rca/staff-benefits/
The Royal College of Art (RCA) aims to foster an inclusive culture which promotes equality, values diversity and maintains a working, learning and social environment in which the rights and dignity of all its staff and students and stakeholders are respected.
We recognise the broad range of experiences that a diverse staff and student body brings and how this strengthens our research and enhances our teaching. In order for RCA to remain a world-leading institution we are committed to promoting equity, diversity and inclusion (EDI) principles throughout all of our processes, from application through to appointment.
Please tell us if you need any assistance in applying or if you need the information in a different format. In your message to resourcing@rca.ac.uk include