Computer Science: Fully Funded Swansea University and QinetiQ PhD Scholarship: Explainable artificial intelligence for automated knowledge discovery and scientific trend prediction

  • Full Time
  • Swansea
  • Posted 3 weeks ago

Swansea University

Job title:

Pc Science: Absolutely Funded Swansea College and QinetiQ PhD Scholarship: Explainable synthetic intelligence for automated data discovery and scientific development prediction

Firm

Swansea College

Job description

Job Info Organisation/FirmSwansea College DivisionCentral Analysis AreaPc science Researcher ProfileFirst Stage Researcher (R1) NationUnited Kingdom Utility Deadline1 Could 2024 – 23:59 (Europe/London) Sort of ContractDifferent Job StandingFull-time Is the job funded by way of the EU Analysis Framework Programme?Not funded by an EU programme Is the Job associated to employees place inside a Analysis Infrastructure?NoSupply DescriptionFunding suppliers: Swansea College’s School of Science and Engineering and QinetiQTopic areas: Synthetic Intelligence, Pc ScienceUndertaking begin date:

  • 1 July 2024 (Enrolment open from mid-June)

Supervisors:

  • Professor Jiaxiang Zhang (

) * Dr Nicholas MicallefAligned programme of research: PhD in Pc ScienceMode of research: Full-timeUndertaking description:The variety of scientific papers printed is rising quickly yearly. The overwhelming quantity of the literature makes it difficult to maintain up with the most recent analysis and developments. Working carefully with the challenge associate QinetiQ, this challenge will mix state-of-the-art machine studying strategies, pure language fashions and picture recognition to develop a human-in-the-loop system for systematic critiques and predictive analytics. We envisage that the system will be capable to collate and analyse a big quantity of analysis publications. Moreover, we count on the system to quantify and extrapolate analysis traits that will have vital impacts on expertise improvement. Our key aims are: * Optimise an automatic systematic evaluate system that integrates texts, figures and tables from scientific publications and different credible sources;

  • Develop and validate deep neural community fashions that predict scientific traits and their impacts;
  • Ship an built-in interface that renders mannequin outputs with explainability, transparency and effectivity.

The challenge associate, QinetiQ, is a multinational FTSE 250 firm with a world workforce exceeding 6000 workers. It affords world-class experience in recommendation, companies, and revolutionary technology-based merchandise within the manufacturing, safety, defence, finance, vitality, and telecom sectors. This collaborative analysis initiative signifies QinetiQ’s dedication to knowledgeable funding in AI and superior computing. The overarching purpose is to pioneer modern options, notably within the domains of application-specific analytics and knowledge science. Via this joint effort, QinetiQ goals to push the boundaries of innovation, guaranteeing they continue to be on the forefront of technological developments in these rising and demanding areas.NecessitiesAnalysis Area Pc science Training Degree Bachelor Diploma or equalAnalysis Area Arithmetic Training Degree Bachelor Diploma or equalAbilities/{Qualifications}Candidates should maintain an undergraduate diploma at 2.1 stage in Pc Science, Arithmetic or a carefully associated self-discipline, or an applicable grasp’s diploma with a minimal total grade at ‘Benefit’ (or Non-UK equal as outlined by Swansea College). In case you are eligible to use for the scholarship (i.e. a pupil who’s eligible to pay the UK charge of tuition charges) however don’t maintain a UK diploma, you’ll be able to test our comparability entry necessities. Please notice that you could be want to supply proof of your English Language proficiency.Particular NecessitiesAttributable to funding restrictions, this scholarship is open to candidates eligible to pay tuition charges on the UK charge solely, as outlined by .Further InfoAdvantagesThis scholarship covers the total value of UK tuition charges and an annual stipend at UKRI charge (at present £18,622 for 2023/24).Further analysis bills will even be accessible.Eligibility standardsCandidates should maintain an undergraduate diploma at 2.1 stage in Pc Science, Arithmetic or a carefully associated self-discipline, or an applicable grasp’s diploma with a minimal total grade at ‘Benefit’ (or Non-UK equal as outlined by Swansea College). In case you are eligible to use for the scholarship (i.e. a pupil who’s eligible to pay the UK charge of tuition charges) however don’t maintain a UK diploma, you’ll be able to test our comparability entry necessities. Please notice that you could be want to supply proof of your English Language proficiency.Attributable to funding restrictions, this scholarship is open to candidates eligible to pay tuition charges on the UK charge solely, as outlined by .Choice course ofPlease go to our web site for extra data.Web site for added job particularsWork Location(s)Variety of affords accessible 1 Firm/Institute Swansea College Nation United Kingdom GeofieldThe place to use Web siteContact State/ProvinceSwansea MetropolisSwansea Web siteRoadSingleton Park Postal CodeSA2 8PPSTATUS: EXPIRED

Anticipated wage

£18622 per 12 months

Location

Swansea

Job date

Wed, 06 Mar 2024 07:26:25 GMT

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