Applications are now open for a fully funded PhD opportunity at RCSI University of Medicine and Health Sciences, Ireland, as part of the prestigious Rinn Artificial Intelligence (AI): Centre for Data Science and AI, funded by Research Ireland. This exciting doctoral research position focuses on Simulation Modelling and Artificial Intelligence for Resilient Health Service Systems (WINTER Project) and offers talented graduates the opportunity to contribute to cutting-edge research at the intersection of AI, healthcare, data science, and public health.
The project aims to improve healthcare resilience and optimize resource allocation during seasonal virus surges by developing advanced simulation models, artificial intelligence tools, and real-time health intelligence systems. Successful candidates will join a multidisciplinary research environment and become part of a cohort-based PhD training programme designed to prepare future leaders in AI and health research.
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This fully funded studentship provides a generous annual stipend, tuition support, professional development opportunities, and funding for conferences and training activities over a four-year period.
PhD Opportunity Overview
- Host Institution: RCSI University of Medicine and Health Sciences
- Research Centre: Rinn Artificial Intelligence (AI): Centre for Data Science and AI
- Research Theme: Population Health and Health Services
- Project Title: Simulation Modelling and AI for Resilient Health Service Systems (WINTER Project)
- Location: Dublin, Ireland
- Funding Agency: Research Ireland
- Degree Level: PhD
- Duration: 4 Years
- Annual Stipend: €25,000
- Additional Benefits: Conference, training, and research support
- Start Date: 1 October 2026
- Application Deadline: 3 July 2026
About the WINTER Project
Healthcare systems worldwide face enormous pressure during seasonal outbreaks of respiratory viruses and other infectious diseases. Winter periods often result in overcrowded hospitals, increased emergency department visits, staff shortages, and limited healthcare resources.
The WINTER Project seeks to address these challenges through innovative applications of artificial intelligence, data science, and simulation modelling.
The project will focus on:
- Predicting healthcare demand during winter virus outbreaks
- Optimizing healthcare resource allocation
- Developing AI-powered decision-support tools
- Enhancing healthcare system resilience
- Supporting evidence-based public health planning
- Improving patient outcomes through advanced analytics
The research combines mathematical modelling, machine learning, health intelligence systems, and population health approaches to create practical solutions for healthcare providers and policymakers.
About Rinn Artificial Intelligence Centre
Rinn Artificial Intelligence is a major multi-institutional and interdisciplinary research centre funded by Research Ireland. The centre brings together researchers from diverse backgrounds to advance AI innovation in areas including:
- Foundational AI methods
- Translational AI research
- Data science and processing
- People-centred AI
- Democratic governance
- Society and culture
- Healthcare and population health
Students joining the programme will benefit from access to leading researchers, collaborative projects, industry engagement opportunities, and advanced AI training.
Funding Benefits
Selected PhD candidates will receive a comprehensive funding package that includes:
Financial Support
- €25,000 annual stipend
- Funding for four years
- Financial stability throughout the PhD programme
Research Development Support
- Conference attendance funding
- Specialist training opportunities
- Workshops and professional development courses
- International networking opportunities
Academic Benefits
- Structured cohort-based doctoral training
- Access to interdisciplinary research teams
- Career development support
- Mentorship from leading AI and health researchers
Research Areas
The successful candidate will have the opportunity to work in several cutting-edge areas including:
Artificial Intelligence in Healthcare
Developing intelligent systems capable of supporting healthcare planning and decision-making.
Simulation Modelling
Building predictive models to understand healthcare system performance under different scenarios.
Population Health Analytics
Using large-scale health data to identify trends and improve health outcomes.
Health Service Optimization
Designing solutions to improve healthcare efficiency and resilience.
Real-Time Health Intelligence
Developing tools that support rapid responses to emerging healthcare challenges.
Public Health Decision Support
Creating evidence-based systems that help policymakers allocate resources effectively.
Eligibility Criteria
Applicants must meet the following requirements:
Academic Qualifications
Candidates should hold at least an Upper Second Class Honours Degree (2.1) or equivalent in a relevant discipline such as:
- Computer Science
- Artificial Intelligence
- Data Science
- Computational Biology
- Mathematics
- Statistics
- Health Sciences
- Public Health
- Biomedical Sciences
- Related quantitative disciplines
English Language Requirements
Applicants whose first language is not English must satisfy RCSI postgraduate English language requirements.
Typically, this includes:
- IELTS score of 6.5–7.0 overall
- Or an equivalent recognized qualification
Preferred Qualifications
Preference may be given to candidates with:
- Experience working with health or medical datasets
- Knowledge of machine learning techniques
- Statistical modelling experience
- Programming skills
- Experience in healthcare analytics
- Interest in public health research
Why Study at RCSI?
RCSI University of Medicine and Health Sciences is internationally recognized for excellence in health sciences education and research.
The university offers:
- World-class research facilities
- Strong international reputation
- Interdisciplinary collaborations
- Industry partnerships
- Global research networks
- High-impact health research environment
RCSI researchers are committed to improving healthcare delivery and population health outcomes through innovative scientific discoveries and translational research.
Career Opportunities
Graduates of this PhD programme will be well-positioned for careers in:
- Artificial Intelligence Research
- Data Science
- Health Analytics
- Public Health Research
- Healthcare Technology
- Academic Research
- Government Health Agencies
- Pharmaceutical and Biotechnology Industries
- International Health Organizations
The combination of AI expertise and healthcare applications is increasingly sought after worldwide.
Application Process
Interested applicants must complete the official online application form before the deadline.
Important Dates
- Application Deadline: 3 July 2026
- Shortlisting: 10 July 2026
- Interviews: Week of 20 or 27 July 2026
- Programme Start Date: 1 October 2026
Documents Required (For Shortlisted Candidates)
Successful shortlisted applicants will later be asked to provide:
- Curriculum Vitae (CV)
- Academic transcripts
- Supporting documentation
- Referee details
References will be requested only from shortlisted candidates.
Final Thoughts
The Rinn Artificial Intelligence PhD Studentship at RCSI represents an outstanding opportunity for graduates interested in applying artificial intelligence, simulation modelling, and data science to real-world healthcare challenges. Through the WINTER Project, researchers will contribute to the development of innovative solutions that strengthen healthcare systems and improve public health outcomes.
With generous funding, advanced research training, international networking opportunities, and access to world-class expertise, this fully funded PhD provides an ideal pathway for aspiring researchers seeking to make a meaningful impact at the intersection of AI and healthcare.
Helen Oesha holds a Doctorate in Entrepreneurship and is a dedicated advocate for youth empowerment through education. Since 2021, she has been guiding students toward scholarships and international opportunities, making higher education more accessible worldwide. Oesha platform is widely regarded as a leading source for discovering global opportunities. Having personally experienced the challenges and success of funded doctoral studies, she is passionate about bridging the gap between ambition and access, helping students realize their dreams and reach their highest potential. this helen oesha remove and write Azhar ul Haq Wahid PhD in journalism from university of complutense Madrid,Spain Journalist write accodingly