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Cranfield University: Big Data Analytics for Industrial Application
Institution | Cranfield University View institution profile |
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Department | Cranfield University |
Web | https://www.cranfield.ac.uk |
study@cranfield.ac.uk | |
Telephone | 01234 758540 |
Study type | Research |
Summary
This PhD project will focus on developing, evaluating, and demonstrating advanced data analytics solutions to a big data problem from aerospace or manufacturing system to uncover hidden patens, unknown correlation, and other useful information for diagnosis and prognosis solutions which leads to enhance reliability, maintainability and readiness of the selected system.
Big Data analytics has attracted intense interest from both academia and industry recently for its attempt to extract more useful information and knowledge from Big Data. Big Data analytics will help to develop more advance diagnosis and prognosis technologies, and, consequently, improve maintenance decision making. Currently, machine leaning exists as the most promising technologies of big data analytics in industrial problems.
The student will have the opportunity to work with experts in the data analytics and condition monitoring field, as well as being part of our strong and dynamic research centre at Cranfield University.
Doctor of Philosophy - PhD
Level | RQF Level 8 |
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Entry requirements | A minimum of a 2:1 first degree in a relevant discipline/subject area (e.g. aerospace, automotive, mechanical, electrical, chemical, computing, and manufacturing) with a minimum 60% mark in the project element or equivalent with a minimum 60% overall module average.; the potential to engage in innovative research and to complete the phd within a three-year period of study.; a minimum of English language proficiency (IELTS overall minimum score of 6.5).; also, the candidate is expected to:; have excellent analytical, reporting and communication skills; be self-motivated, independent and team player; be genuine enthusiasm for the subject and technology; have the willing to publish research findings in international journals. |
Location | Cranfield Campus Cranfield Bedfordshire Milton Keynes MK43 0AL |
Level | RQF Level 8 |
---|---|
Entry requirements | A minimum of a 2:1 first degree in a relevant discipline/subject area (e.g. aerospace, automotive, mechanical, electrical, chemical, computing, and manufacturing) with a minimum 60% mark in the project element or equivalent with a minimum 60% overall module average.; the potential to engage in innovative research and to complete the phd within a three-year period of study.; a minimum of English language proficiency (IELTS overall minimum score of 6.5).; also, the candidate is expected to:; have excellent analytical, reporting and communication skills; be self-motivated, independent and team player; be genuine enthusiasm for the subject and technology; have the willing to publish research findings in international journals. |
Location | Cranfield Campus Cranfield Bedfordshire Milton Keynes MK43 0AL |
Cranfield is a specialist postgraduate university that is a global leader for education and transformational research in technology and management.
We have many world-class, large-scale facilities, including our own global research airport, which offers a unique environment for transformational education and research, living laboratory for testing transformative technologies and new approaches to deliver enhanced social, economic and environmental outcomes.
Cranfield teaches over 5,000 postgraduate students each year and employs around 1,500 academic and support staff. Our staff-to-student ratio is one of the best for any university in the UK.
As one of the UK's most business-engaged University, …
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