Overview
The University of Edinburgh’s School of Informatics is offering a fully-funded PhD studentship, commencing in September 2026. This opportunity focuses on the integration of language-based state representations with time-series modeling, particularly in the context of health data monitoring. The project aims to develop innovative methods that leverage large language models alongside continuous-time sensor data, fostering the creation of interpretable models that can perform text-based forecasting and support causal inquiries.
Background & Relevance
The intersection of natural language processing (NLP) and time-series analysis is a burgeoning area of research with significant implications for various fields, including healthcare. By combining insights from large language models with real-time data, researchers can enhance predictive accuracy and provide deeper insights into complex datasets. This PhD position is particularly relevant as it addresses the growing need for interpretable AI systems that can operate in dynamic environments, making it a vital contribution to the AI/ML community.
Key Details
- Start Date: September 2026
- Location: University of Edinburgh, School of Informatics
- Funding: Fully funded, including computational resources and travel support
- Application Link: ILCC Program
Eligibility & Participation
This PhD program is open to applicants from diverse backgrounds, with no specific domain expertise required. The University of Edinburgh promotes an inclusive culture and encourages applications from women, queer individuals, racial and ethnic minorities, and other underrepresented groups in machine learning and AI research.
Submission or Application Guidelines
Interested candidates should apply through the ILCC program. Detailed information regarding the application requirements can be found on the program’s webpage. Prospective students are encouraged to reach out directly via email for any inquiries regarding the position.
Additional Context / Real-World Relevance
The integration of language models with time-series data has the potential to revolutionize how we understand and interact with complex datasets, particularly in healthcare. This research aligns with broader trends in AI, where the demand for interpretable and actionable insights is paramount. By focusing on this intersection, the PhD position not only contributes to academic knowledge but also addresses real-world challenges in data interpretation and decision-making.
Conclusion
This PhD opportunity at the University of Edinburgh represents a significant step for those interested in the convergence of language processing and time-series analysis. Interested individuals are encouraged to explore this unique position, apply, and contribute to advancing the field of AI and machine learning.
Category: PhD & Postdoc Positions
Tags: phd, edinburgh, nlp, time-series, health-data, language-models, machine-learning, probabilistic-inference
