Scholarships
Fully Funded PhD Studentship at Bournemouth University: AI-Driven Predictive Analytics for Enhanced Vessel Performance
Bournemouth University is inviting applications for a fully funded PhD studentship in AI-Driven Predictive Analytics for Enhanced Vessel Performance and Operational Efficiency. This exciting research opportunity will begin in 2025/2026 and is designed for highly motivated candidates passionate about artificial intelligence, predictive modeling, and maritime engineering.
About the PhD Project
The project focuses on applying artificial intelligence and advanced predictive analytics to optimize vessel operations, reduce fuel consumption, and improve overall maritime efficiency. With the shipping industry under increasing pressure to minimize costs and lower emissions, this research will contribute directly to shaping the future of sustainable and smart shipping.
Key research areas include:
- AI-based predictive models for vessel performance
- Optimization of fuel efficiency and energy consumption
- Data-driven approaches to maritime operational decision-making
- Applications of machine learning in marine engineering
Funding Details
- Award: Fully funded PhD studentship
- Duration: 3 years (full-time)
- Funding covers: Tuition fees, research costs, and a tax-free stipend (living allowance) for the successful applicant
- Start date: Academic year 2025/26
Candidate Requirements
Applicants should have:
- A first-class or upper second-class degree (or equivalent) in Computer Science, Engineering, Data Science, or a related discipline
- Strong skills in machine learning, AI, and data analytics
- Experience with programming languages such as Python, R, or MATLAB
- A strong interest in maritime applications and sustainable technologies
Why Apply?
- Be part of a world-class research environment at Bournemouth University
- Contribute to the digital transformation of the maritime industry
- Gain specialized expertise in AI-driven analytics with real-world applications
- Open pathways for careers in AI research, data science, and maritime technology
Application Process
Interested candidates should prepare:
- A detailed CV
- A personal statement outlining research interests and motivation
- Academic transcripts
- Two references
Applications are competitive, and early submission is strongly recommended.
Final Thoughts
This PhD opportunity combines the power of artificial intelligence with the future of maritime sustainability. If you are ready to advance your career in research while making an impact on global shipping efficiency, this fully funded studentship is the perfect next step.
