PhD Studentship Opportunity in Machine Learning and Deception Detection Institution: University of Warwick – Department of Computer Science

Location: Coventry, United Kingdom
Application Deadline: twenty third May 2025
Start Date: October 2025
Funding: Fully Funded for UK Students (UKRI Standard Stipend and Fees)
Reference: Computer Science–Machine Learning

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The University of Warwick is inviting purposes for a completely funded PhD Studentship in the Department of Computer Science, developed in collaboration with the Department of Psychology. The studentship, collectively supported by GCHQ, offers a novel alternative to conduct interdisciplinary analysis in Machine Learning and Psychophysiological Deception Detection.

This 3.5-year PhD studentship is scheduled to start in October 2025 and gives a UKRI-standard stipend and tuition protection, making it a extremely aggressive and rewarding alternative for eligible UK college students.

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Background

Deception detection stays a posh and very important problem throughout a number of sectors in the UK, together with:

• The Probation Service
• Law enforcement companies (e.g., Police)
• National safety organisations

While polygraph testing stays one of essentially the most extensively used strategies to detect deception, it sometimes depends on measuring physiological indicators reminiscent of:

• Blood stress
• Electrodermal exercise (pores and skin conductance)

Despite its in depth use, polygraph expertise and methodology haven’t totally advanced with advances in fashionable sensor techniques and information evaluation applied sciences. There is a important want for revolutionary options that may improve each the accuracy and the reliability of deception detection practices.

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Project Overview

This interdisciplinary undertaking seeks to advance the sector of deception detection by incorporating:

• Novel physiological indicators, reminiscent of:
  • Pupil dilation
  • Remote photoplethysmography (PPG)
• Machine studying strategies to boost information assortment, sign evaluation, and interpretation

You will probably be tasked with integrating and adapting sign processing strategies utilizing software program packages reminiscent of BioSPPy. The analysis may be formed based mostly in your technical background and areas of curiosity, providing flexibility in route and depth.

In addition to educational mentorship, you’ll profit from steerage and suggestions from UK Government specialists, guaranteeing the sensible relevance and societal influence of your analysis. The undertaking goals to tell and assist a number of exterior stakeholders, together with the:

• UK Police
• National Probation Service
• National safety our bodies

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Candidate Requirements

Applicants should meet the next important standards:

• Academic Qualifications:
  • A minimal of a 2.1 honours Bachelor’s diploma (or equal) in a STEM-related area, reminiscent of:
    • Computer Science
    • Data Science
    • Engineering
    • Physics
    • Mathematics
  • A related MSc or MEng is fascinating however not necessary; sturdy candidates with out postgraduate {qualifications} will probably be thought-about.
• Technical Competencies:
  • Demonstrated expertise in machine studying algorithms and toolsets
  • Strong programming proficiency in not less than one of the next languages:
• Interest Areas:
  • A transparent curiosity in physiological sign processing and biometric evaluation
• Residency Status:
  • Must qualify as a Home Student as outlined by UKRI requirements

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Funding Details

This studentship contains the next monetary assist:

• Annual UKRI-rate stipend for a period of 3.5 years
• Full protection of educational tuition charges
• An further Departmental RTSG (Research Training Support Grant) of £3,500, for use over the registration interval

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Application Process

Interested candidates should submit the next paperwork:

• A brief CV highlighting educational background and technical abilities
• A overlaying letter explaining:
  • Motivation for making use of to this studentship
  • Relevant expertise in machine studying, physiological information evaluation, or associated fields

Deadline for purposes: twenty third May 2025

For casual enquiries concerning the studentship or undertaking particulars, candidates are inspired to contact Professor Nathan Griffiths on the University of Warwick.

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This PhD studentship alternative represents an opportunity to contribute to high-impact analysis with real-world purposes in legislation enforcement, nationwide safety, and psychological evaluation. By integrating rising physiological measurement strategies with state-of-the-art machine studying, you’ll be on the forefront of a transformative space of analysis.

Don’t miss the chance to be part of an revolutionary educational atmosphere whereas making significant contributions to society. Apply by twenty third May 2025 to be thought-about for this distinctive programme.

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For extra alternatives, please go to the Opportunities for Youth‘s web site!

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