Civil Engineering: Fully Funded EPSRC and TWI PhD Scholarship: AI-Driven Investigation into Predictive Non-Destructive Evaluation

Job title:

Civil Engineering: Fully Funded EPSRC and TWI PhD Scholarship: AI-Driven Investigation into Predictive Non-Destructive Evaluation

Company

Swansea University

Job description

Job Information Organisation/CompanySwansea University DepartmentCentral Research FieldEngineering » Civil engineering Researcher ProfileFirst Stage Researcher (R1) CountryUnited Kingdom Application Deadline31 Jul 2024 – 23:59 (Europe/London) Type of ContractOther Job StatusOther Hours Per Week35 Offer Starting Date1 Oct 2024 Is the job funded through the EU Research Framework Programme?Not funded by an EU programme Is the Job related to staff position within a Research Infrastructure?NoOffer DescriptionCivil Engineering: Fully Funded EPSRC and TWI PhD Scholarship: AI-Driven Investigation into Predictive Non-Destructive EvaluationNon-destructive testing (NDT) is a testing and analysis technique used by industry to evaluate the properties of a material, component, structure or system for characteristic differences or welding defects and discontinuities without causing damage to the original part. Among various NDT approaches, Ultrasound Testing (UT) and X-ray Computed Tomography (XCT) are the main focus of this project.Both UT and XCT techniques can produce large 3D datasets that can be challenging to interrogate for human experts to fully analyse. Small defects or anomalies may be missed when manually examining through the acquired volumetric data. Artificial intelligence (AI) has emerged as a promising solution to automate and enhance defect detection in these complex structural data. The aim of this study is to improve diagnostic accuracy through development an AI system that can perform rapid processing of large 3D data volumes, and identify defects that are difficult to discern with the naked eye and provide a second opinion with a level of certainty to assist human experts.From the aspect of research methodology, the research work involves image processing, data analytics and machine learning, as well as image-based material characterization. From the application aspect, the project emphasizes on both metallic and composite materials and components.RequirementsResearch Field Engineering » Civil engineering Education Level Bachelor Degree or equivalentSkills/QualificationsCandidates must hold an undergraduate degree at 2.1 level (or Non-UK equivalent as defined by Swansea University) in Engineering or similar relevant science discipline.Specific RequirementsIf you are eligible to apply for the scholarship but do not hold a UK degree, you can check our comparison entry requirements.Please note that you may need to provide evidence of your English Language proficiency.Due to funding restrictions, this scholarship is open to applicants eligible to pay tuition fees at the UK rate only, as defined by .Additional InformationBenefitsThis scholarship covers the full cost of UK tuition fees and an annual stipend of £19,237 and an annual top-up of £1,200.Additional research expenses will also be available.Eligibility criteriaCandidates must hold an undergraduate degree at 2.1 level (or Non-UK equivalent as defined by Swansea University) in Engineering or similar relevant science discipline. If you are eligible to apply for the scholarship but do not hold a UK degree, you can check our comparison entry requirements. Please note that you may need to provide evidence of your English Language proficiency.Due to funding restrictions, this scholarship is open to applicants eligible to pay tuition fees at the UK rate only, as defined by .Selection processPlease see our website for more information.Website for additional job detailsWork Location(s)Number of offers available 1 Company/Institute Swansea University Country United Kingdom City Swansea Postal Code SA2 8PP GeofieldWhere to apply WebsiteContact CitySwansea WebsiteStreetSingleton Park Postal CodeSA28PP E-Mailc.f.li@swansea.ac.ukSTATUS: EXPIRED

Expected salary

Location

Swansea

Job date

Fri, 26 Apr 2024 03:03:25 GMT

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