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Fully funded PhD Position in Computing Science Confidentiality and Integrity Preserving Machine Learning Systems, UK

The University of Glasgow is offering a Fully funded PhD Position in Computing Science Confidentiality and Integrity Preserving Machine Learning Systems. The position aims to advance secure and privacy-aware machine learning by addressing vulnerabilities throughout the ML lifecycle. The successful candidate will benefit from world-class supervision, access to Glasgow’s growing cybersecurity ecosystem, and a tax-free stipend aligned with UKRI rates.

The scholarship is open to applicants from all nationalities. Candidates must hold a first-class or upper second-class degree (or equivalent) in Computer Science, Cybersecurity, Artificial Intelligence/Machine Learning, or a closely related field. Applicants should have background knowledge in machine learning, systems security, cryptography, or privacy-preserving computing, along with strong programming skills.

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Founded in 1451, the University of Glasgow is one of the oldest and most prestigious universities in the world. Located in Scotland, it is a member of the elite Russell Group of research-intensive UK universities. Known for its excellence in teaching and research, the university offers a vibrant international environment and cutting-edge facilities. With a strong tradition of innovation and global impact, Glasgow is consistently ranked among the top universities in the UK and globally.

Application Deadline: 31 July 2025

Brief Description

  • University or Organization: University of Glasgow

  • Department: School of Computing Science, College of Science and Engineering

  • Course Level: PhD (Doctoral Research)

  • Award: Fully funded (tuition + annual stipend of £20,780)

  • Access Mode: Online application

  • Number of Awards: One

  • Nationality: UK and international

  • The award can be taken in: United Kingdom

Eligibility

  • Eligible Countries: All nationalities

  • Acceptable Course or Subjects: The scholarship will be awarded in Computing Science, with focus areas including cybersecurity, machine learning, cryptography, and privacy-preserving computing.

  • Admissible Criteria: To be eligible, applicants must:

    • Hold a first-class or upper second-class degree in Computer Science, Cybersecurity, AI/ML, or a closely related discipline

    • Possess knowledge in machine learning, systems security, or cryptographic techniques

    • Demonstrate strong programming skills

    • Show interest and capability in conducting research on secure ML pipelines.

How to Apply

Interested candidates must submit:

  • A CV

  • A 1-page cover letter explaining their interest and fit

  • Degree transcripts

  • Contact details for two academic referees

  • A copy of their best scientific publication (if any)

Apply online through:
www.gla.ac.uk/research/opportunities/howtoapplyforaresearchdegree

For informal inquiries, contact:

Benefits

  • Full coverage of tuition fees for UK and international students

  • Annual tax-free stipend of £20,780 for 2025/26 (subject to increase in line with UKRI rates)

  • A world-class research environment in a leading Russell Group university

  • Access to Glasgow’s thriving cybersecurity and machine learning research ecosystem

Apply Now