Swansea University
Job title:
Computer Science: Fully Funded EPSRC and RCNDE PhD Scholarship: Real Time Tracking of Cognitive Load to Assess Human Factors During Inspections
Company
Swansea University
Job description
Job Information Organisation/CompanySwansea University DepartmentCentral Research FieldComputer science » Other Researcher ProfileFirst Stage Researcher (R1) CountryUnited Kingdom Application Deadline29 Apr 2024 – 23:59 (Europe/London) Type of ContractOther Job StatusFull-time 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 DescriptionComputer Science: Fully Funded EPSRC and RCNDE PhD Scholarship: Real Time Tracking of Cognitive Load to Assess Human Factors During InspectionsMany industries are relocating workers from hazardous environments to supervisory rooms, where they need to engage with automated systems to perform their work. A critical challenge in human-automated systems interaction lies in effectively managing human factors such as cognitive load (CL) and emotions such as stress to ensure optimal task execution. However, currently, measuring CL involves bulky, expensive techniques such as functional magnetic resonance imaging and magnetoencephalography, limiting their practicality. Recent progress in wearable design helps non-invasively measure CL and stress by synchronously analysing physiological indicators such as Pupillometry, heart-rate variability, and skin conductivity. Regardless, previous work involved wearing eye trackers and heart monitors, which may not be suitable for real-time inspection setups. Besides, the tasks utilised to collect data for estimating CL were superficial and consequently, CL measures were task dependent.Thus, there is a clear need to develop less invasive and robust task-independent measures for CL. This need is particularly relevant in non-destructive evaluation (NDE), where automation is increasing, and human factors significantly contribute to uncertainties in inspection results. This project will explore corrective methods to enhance inspection reliability by developing robust measure of CL and correlating it with operator performance. With automated systems generating vast volumes of inspection data and data analysis tasks becoming more complex, addressing human factors becomes increasingly vital for ensuring the overall dependability of inspections.RequirementsResearch Field Computer science » Other Education Level Bachelor Degree or equivalentSkills/QualificationsCandidates must hold an Upper Second Class (2.1) honours degree or an appropriate master’s degree with a minimum overall grade at ‘Merit’ in Computer Science, Mathematics or a closely related discipline. If you are eligible to apply for the scholarship (i.e. a student who is eligible to pay the UK rate of tuition fees) 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.Specific RequirementsDue 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 tuition fees and an annual stipend at £19,237.Additional research expenses will also be available.Eligibility criteriaCandidates must hold an Upper Second Class (2.1) honours degree or an appropriate master’s degree with a minimum overall grade at ‘Merit’ in Computer Science, Mathematics or a closely related discipline. If you are eligible to apply for the scholarship (i.e. a student who is eligible to pay the UK rate of tuition fees) but do not hold a UK degree, you can check our comparison entry requirements (see ). 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-Mail[email protected]STATUS: EXPIRED
Expected salary
£19237 per year
Location
Swansea
Job date
Fri, 05 Apr 2024 06:52:34 GMT
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