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

Swansea University, United Kingdom

Updated: about 2 months ago
Location: Swansea, WALES
Job Type: FullTime
Deadline: 01 May 2024

4 Mar 2024
Job Information
Organisation/Company

Swansea University
Department

Central
Research Field

Computer science
Researcher Profile

First Stage Researcher (R1)
Country

United Kingdom
Application Deadline

1 May 2024 - 23:59 (Europe/London)
Type of Contract

Other
Job Status

Full-time
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?

No

Offer Description

Funding providers: Swansea University's Faculty of Science and Engineering and QinetiQ 

Subject areas: Artificial Intelligence, Computer Science

Project start date: 

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

Supervisors:

Aligned programme of study: PhD in Computer Science

Mode of study: Full-time

Project description: 

The number of scientific papers published is increasing rapidly every year. The overwhelming volume of the literature makes it challenging to keep up with the latest research and developments. Working closely with the project partner QinetiQ, this project will combine state-of-the-art machine learning methods, natural language models and image recognition to develop a human-in-the-loop system for systematic reviews and predictive analytics. We envisage that the system will be able to collate and analyse a significant amount of research publications. Furthermore, we expect the system to quantify and extrapolate research trends that may have significant impacts on technology development. Our key objectives are:   

  • Optimise an automated systematic review system that integrates texts, figures and tables from scientific publications and other credible sources;
  • Develop and validate deep neural network models that predict scientific trends and their impacts;
  • Deliver an integrated interface that renders model outputs with explainability, transparency and efficiency.

    • The project partner, QinetiQ, is a multinational FTSE 250 company with a global workforce exceeding 6000 employees. It offers world-class expertise in advice, services, and innovative technology-based products in the manufacturing, security, defence, finance, energy, and telecom sectors.  This collaborative research initiative signifies QinetiQ's commitment to informed investment in AI and advanced computing. The overarching goal is to pioneer leading-edge solutions, particularly in the domains of application-specific analytics and data science. Through this joint effort, QinetiQ aims to push the boundaries of innovation, ensuring they remain at the forefront of technological advancements in these emerging and critical areas. 


    Requirements
    Research Field
    Computer science
    Education Level
    Bachelor Degree or equivalent

    Research Field
    Mathematics
    Education Level
    Bachelor Degree or equivalent

    Skills/Qualifications

    Candidates must hold an undergraduate degree at 2.1 level in Computer Science, Mathematics or a closely related discipline, or an appropriate master’s degree with a minimum overall grade at ‘Merit’ (or Non-UK equivalent as defined by Swansea University). 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 Requirements

    Due to funding restrictions, this scholarship is open to applicants eligible to pay tuition fees at the UK rate only, as defined by UKCISA regulations . 


    Additional Information
    Benefits

    This scholarship covers the full cost of UK tuition fees and an annual stipend at UKRI rate (currently £18,622 for 2023/24).

    Additional research expenses will also be available.


    Eligibility criteria

    Candidates must hold an undergraduate degree at 2.1 level in Computer Science, Mathematics or a closely related discipline, or an appropriate master’s degree with a minimum overall grade at ‘Merit’ (or Non-UK equivalent as defined by Swansea University). 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. 

    Due to funding restrictions, this scholarship is open to applicants eligible to pay tuition fees at the UK rate only, as defined by UKCISA regulations . 


    Selection process

    Please visit our website for more information.


    Website for additional job details

    https://www.swansea.ac.uk/postgraduate/scholarships/research/computer-science-s…

    Work Location(s)
    Number of offers available
    1
    Company/Institute
    Swansea University
    Country
    United Kingdom
    Geofield


    Where to apply
    Website

    https://www.swansea.ac.uk/postgraduate/scholarships/research/computer-science-s…

    Contact
    State/Province

    Swansea
    City

    Swansea
    Website

    http://www.swansea.ac.uk
    Street

    Singleton Park
    Postal Code

    SA2 8PP

    STATUS: EXPIRED

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