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 () or Dr Stephen McGough at ()
For further details on the Faculty of Science, Agriculture & Engineering please visit our web page at:
For further details about Knowledge Transfer Partnerships please visit the web page at:
Key Tasks:
Conduct the research and objectives along the lines of the programme of the funded project
Develop and deploy an enterprise-level Knowledge Management and Discovery Platform for Product Innovation based on novel Generative AI, Large Language Models, and Human-AI collaboration techniques
Undertake personal development activities including on-boarding familiarisation with the company
Disseminate and embed the knowledge within P&G to various stakeholders throughout the KTP via reports, presentations, group discussions and workshops
Prepare outputs such as publications and case studies of the research from the team to scientific and non-scientific audiences, in written and oral form. And attend conferences
Knowledge, Skills, and Experience
Essential:
Familiarity with core concepts of Generative AI, LLMs, Knowledge Management and knowledge graphs, and user interface design, and trustworthy and explainable AI
Ability to apply and expand knowledge and techniques in NLP, AI, deep learning and predictive modelling, generative models
Programming and development skills in Python based Natural Language Processing and multi-modal data processing AI libraries and platforms such as NLTK, Spacy, sk-learn, pytorch, Keras
Adaptability and ability to quickly grasp new concepts, technologies. • Problem-solving skills to analyse and break complex problems into manageable components when devising innovative solutions using LLM technologies
Desirable:
Familiarity with graph reasoning and advanced LLM techniques such as Retrieval Augmented Generation (RAG), Reasoning, Multi-agent, Knowledge Distillation
Attributes and Behaviour
Personal motivation and drive
Excellent organisational and planning skills
Thrives in a project environment with the ability to work to tight deadlines
The ability to work independently and collaboratively with colleagues
The ability to work autonomously and the confidence to lead
Good attention to detail
Is a natural problem solver
Excellent verbal, written and presentation skills
Qualifications
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
To apply, please attach your CV and a cover letter that demonstrates how you meet the essential criteria for the position, as outlined in the Person Specification of the Job Description. Any requested additional documents required as part of your application, should be included within the same file as your cover letter. The total file size must not exceed 10MB
Newcastle University is a global University where everyone is treated with dignity and respect. As a University of Sanctuary, we aim to provide a welcoming place of safety for all, offering opportunities to people fleeing violence and persecution.
We are committed to being a fully inclusive university which actively recruits, supports and retains colleagues from all sectors of society. We value diversity as well as celebrate, support and thrive on the contributions of all of our employees and the communities they represent. We are proud to be an equal opportunities employer and encourage applications from individuals who can complement our existing teams, we believe that success is built on having teams whose backgrounds and experiences reflect the diversity of our university and student population.
At Newcastle University we hold a silver award in recognition of our good employment practices for the advancement of gender equality. We also hold a Bronze award in recognition of our work towards tackling race inequality in higher education REC. We are a employer and will offer an interview to disabled applicants who meet the essential criteria for the role as part of the offer and interview scheme.
In addition, we are a member of the Euraxess initiative supporting researchers in Europe.
Requisition ID: 28250
