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

  •  PhD
  •  31-Jul-2026
  •   United Kingdom
  • $$  Fully funded (tuition + annual stipend of £20,780)

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.

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.

University of Glasgow Information

University of Glasgow Grants

Fully funded PhD Position in Computing Science Confidentiality and Integrity Preserving Machine Learning Systems, UK Established in 1451, University of Glasgow is a non-profit public higher education institution located in the urban setting of the medium-sized city of Glasgow (population range of 500,000-1,000,000 inhabitants), Scotland. This institution has also branch campuses in the following location(s): Dumfries, Singapore. Officially accredited and/or recognized by the Privy Council, University of Glasgow (UofG) is a large (uniRank enrollment range: 25,000-29,999 students) coeducational higher education institution. University of Glasgow (UofG) offers courses and programs leading to officially recognized higher education degrees such as pre-bachelor degrees (i.e. certificates, diplomas, associate or foundation degrees), bachelor degrees, master degrees, doctorate degrees in several areas of study. See the uniRank degree levels and areas of study matrix below for further details. This 568 years old higher-education institution has a selective admission policy based on students' past academic record and grades. International applicants are eligible to apply for enrollment.

Eligibility Criteria

  • 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.

Offered 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

Application Process

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:

  • Prof. Shahid Raza –

  • Dr. Apostolos Pyrgelis –

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