Specialist in Generative AI and Large Language Models for Product Innovation - KTP Associate

We are a world class research-intensive university. We deliver teaching and learning of the highest quality. We play a leading role in economic, social and cultural development of the North East of England. Attracting and retaining high-calibre people is fundamental to our continued success.

The Role
Procter & Gamble and Newcastle University are offering an exciting opportunity to accelerate product innovation and increase business productivity by automating the construction of an enterprise-level Knowledge Management and discovery platform via the use of novel Generative AI, Large Language Models, and human-AI collaboration techniques.

Procter & Gamble is the world's leading non-food consumer products manufacturer with activities in five sector business units of Baby, Feminine & Family Care; Beauty; Health Care; Grooming; and Fabric & Home Care (F&HC).

Based at Procter & Gamble, Reading, you will lead a Knowledge Transfer Partnership (KTP) project. You will lead the development and deployment of an enterprise-level Knowledge Management and Discovery Platform for Product Innovation based on novel Generative AI, Large Language Models, and Human-AI collaboration techniques.

You will be supported by an interdisciplinary team from Newcastle University, led by Dr Huizhi Liang, with expertise in Artificial Intelligence, Generative AI, NLP, LLMs, multi-modal data processing, Machine Learning, Data Mining, and Information Retrieval. You will also have support from a Senior Company Supervisor.

Candidates should have a degree of Master or PhD in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, Data Science, Statistics or a related technical field.

Benefits:

• Develop managerial skills and attend two residential managerial workshops (each of one week duration).
• £4,000 personal training budget.
• The opportunity to lead a project, develop project management skills and improve long term career prospects.
• Mentoring by a Knowledge Transfer Network Adviser.
• Full access to university resources to complete the project.
• Ability to work in a largely self-determined way, across the industry-academic partnership.
• Opportunities to develop both technical understanding and commercial awareness.
• The possibility to study for a higher degree or undertake professional development.

The KTP Associate will be an employee of Newcastle University but will spend most of their working time at the company’s premises at 452 Basingstoke Road, Reading, Berkshire, RG2 0QE and when required at Newcastle University.

The KTP Associate will follow P&G's working hours and holiday procedure. The Associate’s working week will be 37.5 hours per week. Annual Leave applicable to this role is 25 days holiday plus statutory holidays.

This is a 24-month fixed-term role.

For more information or informal enquiries, please contact Dr Huizhi Liang at (Huizhi.Liang@newcastle.ac.uk) or Dr Stephen McGough at (stephen.mcgough@newcastle.ac.uk).

For further details on the Faculty of Science, Agriculture & Engineering please visit our web page at: https://www.ncl.ac.uk/sage/.

For further details about Knowledge Transfer Partnerships please visit the web page at: http://www.ktp-uk.org/.

Advert information