Job title:
Computer Science: Fully Funded Swansea University PhD Scholarship: Continuous self-monitoring of simulated robot motion for intent expression
Company
Job description
Offer DescriptionFunding provider: Swansea UniversitySubject areas: Intelligent Robotics and Virtual RealityProject start date:
- 1 October 2024 (Enrolment open from mid-September)
Supervisors:
- Primary Supervisor- Dr Julian Hough (
) * Secondary Supervisor- Dr Daniele CafollaAligned programme of study: PhD in Computer ScienceMode of study: Full-timeProject description:When robots move, human interaction partners and observers ascribe an intention to the robot. For example, in a simple pick-and-place scenario where a robot is facing two different objects, as its arm begins to move towards one of the objects, human observers ascribe a probability to the robot’s intention of picking up one or the other object, a probability which changes over time (Dragan et al, 2013). The degree to which a robot’s intention becomes clearer as it moves, or its legibility, depends on several factors, including the task at hand, the capabilities of the robot, trajectories of its motion and the viewing perspective of the observer (Nikolaidis et al, 2016).This project will develop continuous models of action legibility using these sources of information from data collected in a virtual reality (VR) Human-Robot Interaction (HRI) scenario. The models’ measure of action legibility will be evaluated against human response times of user confirmations in a variety of scenarios, using appropriate statistical testing to test the efficacy of the models.The project forms part of a wider effort for developing an effective VR HRI toolkit for improving interactive fluidity between robots and humans. The successful candidate will join the new Intelligent Robotics group in the Computer Science Department in the Computational Foundry in the Faculty of Science and Engineering at Swansea University, in addition to interfacing with the established Human-Computer Interaction (HCI) FIT lab. The candidate will be working alongside other researchers on the FLUIDITY project on human-robot interaction, and those working on other real-world applications.RequirementsResearch Field Computer science Education Level Bachelor Degree or equivalentResearch Field Engineering Education Level Bachelor Degree or equivalentSkills/QualificationsAcademically, ideally the candidate should hold a degree, of be predicted with certainty to hold a degree this academic year, of an equivalent of at least a UK high 2.1 undergraduate degree, or masters degree at least ‘Merit’ level, in any of the following disciplines: Computer Science; Robotics; Engineering; Virtual Reality; Mathematics; Physics. Evidence of publishable standard projects is also desirable. 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.English Language: IELTS 6.5 Overall (with no individual component below 6.0) or Swansea University recognised equivalent.Specific RequirementsThis scholarship is open to candidates of any nationality.International Fee Eligible Students:Swansea University is pleased to offer the which covers the difference between the International and the Home/UK tuition fee for the duration of the PhD/Professional Doctorate programme. All International applications will be considered for a SUIPRES Scholarship. You will be informed whether a SUIPRES Scholarship will be offered within your offer letter.ATASPlease note that the programme requires some applicants to hold ATAS clearance,ATAS clearance IS NOT required to be held as part of the scholarship application process, successful award winners (as appropriate) are provided with details as to how to apply for ATAS clearance in tandem with scholarship course offer.Additional InformationBenefitsThis scholarship covers the full cost of tuition fees and an annual stipend of £19,237.Additional research expenses will also be available.Eligibility criteriaAcademically, ideally the candidate should hold a degree, of be predicted with certainty to hold a degree this academic year, of an equivalent of at least a UK high 2.1 undergraduate degree, or masters degree at least ‘Merit’ level, in any of the following disciplines: Computer Science; Robotics; Engineering; Virtual Reality; Mathematics; Physics. Evidence of publishable standard projects is also desirable. 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.English Language: IELTS 6.5 Overall (with no individual component below 6.0) or Swansea University recognised equivalent.This scholarship is open to candidates of any nationality.International Fee Eligible Students:Swansea University is pleased to offer the which covers the difference between the International and the Home/UK tuition fee for the duration of the PhD/Professional Doctorate programme. All International applications will be considered for a SUIPRES Scholarship. You will be informed whether a SUIPRES Scholarship will be offered within your offer letter.ATASPlease note that the programme requires some applicants to hold ATAS clearance,ATAS clearance IS NOT required to be held as part of the scholarship application process, successful award winners (as appropriate) are provided with details as to how to apply for ATAS clearance in tandem with scholarship course offer.Selection processPlease visit our website for more information.Website for additional job detailsWork Location(s)Number of offers available 1 Company/Institute Swansea University Country United Kingdom GeofieldWhere to apply WebsiteContact State/ProvinceSwansea CitySwansea WebsiteStreetSingleton Park Postal CodeSA2 8PPSTATUS: EXPIRED
Expected salary
£19237 per year
Location
Swansea
Job date
Sat, 01 Jun 2024 00:45:32 GMT
To help us track our recruitment effort, please indicate in your email/cover letter where (globalvacancies.org) you saw this job posting.
