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Fully Funded PhD Positions at Queen's University Belfast

Explore fully funded PhD opportunities spanning data-driven healthcare, AI supply chains, and biological knowledge modeling at Queen's University Belfast.

Best for:Best for aspiring doctoral researchers with strong quantitative backgrounds in data science, mathematics, computer science, or engineering seeking fully funded PhD opportunities.

Queen's University Belfast · Belfast, United Kingdom · R1 · First-stage researcher
More professors at Queen's University Belfast
Predictive ModellingMachine LearningComplex SystemsSupply Chain ResilienceLarge Language ModelsBiological Reasoning
Deadline
—
Funding
Scholarship
Fully Funded
Start date
Fall 2026
Full-time
Location
Belfast
United Kingdom

Overview

Queen's University Belfast offers a selection of fully funded PhD opportunities across multiple innovative departments and research groups. Selected candidates will engage in rigorous academic research addressing real-world challenges, such as emergency care resource optimization, complex system certification, and AI-driven biological reasoning. The doctoral programs provide comprehensive professional training, cohort engagement, and collaboration with industrial or clinical partners. Successful applicants are expected to dedicate themselves full-time to their research, produce high-impact publications, and complete their doctoral dissertations within the designated timeframe.

Fully Funded PhDQueen's University BelfastData-Driven DecisionsCertification by AnalysisAI Supply ChainBiological Knowledge Models

What you'll do

  • Conduct independent and original academic research under the guidance of assigned faculty supervisors.
  • Develop and apply advanced quantitative methods, predictive models, or simulation frameworks to address core research questions.
  • Collaborate with external industrial partners, clinical trusts, or consortium members as part of the project requirements.
  • Perform literature reviews, technical evaluations, and gap analyses to establish current state-of-the-art baselines.
  • Validate theoretical models against real-world data, case studies, or empirical benchmarks.
  • Prepare written reports, conference papers, and peer-reviewed journal articles detailing research outcomes.
  • Participate in cohort-based training activities, workshops, and professional development programs.

Requirements

Degree required: BSc or MSc degree in Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related quantitative discipline

Degree offered: PhD

Language: English; meeting university postgraduate English language entry requirements

Instruction: English

Required skills
  • Strong background in mathematics, statistics, or a relevant quantitative domain
  • Demonstrated aptitude for academic research and problem-solving
  • Proficiency in data analysis or computational modeling
  • Ability to work effectively both independently and within multidisciplinary teams
Nice to have
Experience with programming languages such as PythonPrior exposure to machine learning or predictive modeling techniquesFamiliarity with engineering simulation tools or complex system analysis
Eligibility
  • Open to eligible home and international candidates meeting university admissions criteria for postgraduate research

Funding & terms

Type
Scholarship
Amount
Fully Funded
Duration
3-4 years
Programme
Queen's University Belfast / UK Research Councils
Queen's University Belfast / UK Research Councils

How to apply

Deadline: 2026-12-31

Interested applicants should review the specific project details and eligibility requirements on the Queen's University Belfast postgraduate portal. Prepare all necessary supporting documentation, including academic transcripts and a research proposal if required, before submitting the online application through the university website.

Documents required
  • CV
  • Academic transcripts
  • Cover letter
  • Reference letters
↗Apply on site

Contact

Lab
Various Departments
Queen's University Belfast
United Kingdom
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