Develop high-accuracy prediction models with small datasets and uncertainty of one-sided information in the free-market system PhD

This PhD project offers a unique opportunity to delve into the complexities of free-market systems and sustainability through a novel ensemble prediction model. With a focus on addressing uncertainty and limited data availability, this research aims to revolutionize decision-making in End-of-Life product management. This initiative addresses crucial gaps in sustainable environmental management and economic resilience.

This self-funded PhD relates to informed decision-making in End-of-Life product management.

The aim is to develop a sophisticated ensemble prediction model tailored to the challenges of free-market systems.

老司机福利社 provides the ideal environment for this research endeavor, offering a wealth of resources and expertise in engineering and digital technologies. The developed prediction model promises to revolutionize strategies in recycling programs, resource allocation, and waste management, fostering the emergence of more resilient economies and sustainable circular practices.

There are collaboration opportunities with world-leading experts within the International Systems Realization Partnership.

Students will gain experience through immersive research, cultivating essential analytical, problem-solving, and data management skills, becoming indispensable assets in engineering and digital innovation.

At a glance

Application deadline27 Nov 2024
Award type(s)PhD
Start date27 Jan 2025
Duration of award3 years
EligibilityUK, EU, Rest of world
Reference numberSATM483

Entry requirements

Applicants should have a first or second class UK honours degree or equivalent in a related discipline. This project would suit individuals from a variety of backgrounds such as machine learning, statistics, and economics. Candidates with experience or keen interest in predictive modelling, data analytics, sustainability studies, or any interdisciplinary fields that combine technology with economic and environmental considerations are particularly encouraged to apply. This opportunity is ideal for candidates who are looking to make a tangible impact on advancing predictive technologies and sustainable practices through rigorous academic research and practical application.

Diversity and Inclusion at Cranfield

At Cranfield, we value our diverse staff and student community and maintain a culture where everyone can work and study together harmoniously with dignity and respect. This is reflected in our University values of ambition, impact, respect and community. We welcome students and staff from all backgrounds from over 100 countries and support our staff and students to realise their full potential, from academic achievement to mental and physical wellbeing. We are committed to progressing the diversity and inclusion agenda, for example; gender diversity in Science, Technology, Engineering and Mathematics (STEM) through our Athena SWAN Bronze award and action plan, we are members of the Women’s Engineering Society (WES) and Working Families, and sponsors of International Women in Engineering Day. We are also Disability Confident Level 1 Employers and members of the Business Disability Forum.

Funding

This is a self-funded project, any interested applicants or any potential sponsor (local government or industry) will need to provide their own financial support in relation to tuition fees, research support fees and living expenses.

About the sponsor

Cranfield Doctoral Network

Research students at Cranfield benefit from being part of a dynamic, focused and professional study environment and all become valued members of the Cranfield Doctoral Network. This network brings together both research students and staff, providing a platform for our researchers to share ideas and collaborate in a multi-disciplinary environment. It aims to encourage an effective and vibrant research culture, founded upon the diversity of activities and knowledge. A tailored programme of seminars and events, alongside our Doctoral Researchers Core Development programme (transferable skills training), provide those studying a research degree with a wealth of social and networking opportunities.