17 statistics-phd positions at Cranfield University

Moving towards “Net Zero” Greenhouse Gas Emissions from Tea Production in Kenya PhD

We are seeking an enthusiastic and conscientious applicant for this fully-funded PhD scholarship (UK tuition fees, stipend and experimental costs) starting on 30 September 2024, which will include

Developing environmentally sustainable & operationally competitive manufacturing organisations PhD

In the quest for sustainable development, the manufacturing sector faces the dual challenge of minimizing environmental impact while enhancing operational efficiency. This PhD project aims

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

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

Circular Chains in the Fashion Industry PhD

market structures. This PhD project focuses on designing a sustainable business or turning an existing business more sustainable by implementing circular practices incurs a range of holistic implications

Aero-Engine Experimental Aerodynamics PhD

This is a full funded PhD (fees and bursary) in propulsion system aerodynamics in collaboration with Rolls-Royce and EPSRC. Fundamental understanding of aerodynamic flows is at the heart of aero

Generative AI for the Next Generation of Manufacturing Automation Systems PhD

sustainable manufacturing practices, reducing waste and environmental impact. This PhD aims to build a generative AI model and algorithm within the automation system integration for optimising manufacturing

Investigate sub surface damage and its impact on structural dynamic behaviour PhD

the highest number of postgraduates in engineering and technology in the UK (Source: Higher Education Statistics Agency Ltd). Cranfield Manufacturing is one of eight major themes at Cranfield University

Combinatorial artificial intelligence for defence applications PhD

are 'explainability' and trust - as the machines learn, they are based upon statistical outcomes on large data sets, rather than human intuitive information.  Another problem lies with the fragility of the systems

Intelligent fault diagnosis and prognosis solution for rotating machinery PhD

This PhD project will focus on developing, evaluating, and demonstrating an intelligent solution of diagnosis and prognosis for rotating machinery to enhance safety, reliability, maintainability and

Framework for Manufacturing Prognostics PhD

This PhD project aims to address one of the key challenges in the manufacturing industry, the increase in productivity by utilizing the equipment with its optimum performance and without any