Results for "artificial intelligence"

Investigate autonomous AI-driven battery systems that optimize multi-energy market participation. Develop novel algorithms integrating AI with advanced battery models to enhance grid flexibility and decarbonization. Cre…

This research enables the development of flexible, intelligent battery systems critical for integrating increasing renewables into energy g…

Apply machine learning to uncover complex drivers of loneliness and self-disclosure patterns across communities. Generate detailed, AI-driven insights to inform effective policy and intervention strategies.

This research addresses a pressing social issue affecting millions in the UK by producing actionable knowledge about loneliness. Its AI-dri…

Discover how AI and advanced methods unlock insights into social capital formation in new housing. Drive change by informing inclusive policies for resilient and connected communities.

This research addresses a critical gap in understanding the social dynamics of new housing developments, informing policies that support co…

Explore how digital and in-person community ties intersect to shape social connectedness across places. Use AI and advanced methods to reveal emerging hybrid community networks and influence policy for resilient communi…

This research enhances understanding of how digital technologies affect community belonging and participation, advancing social inclusion a…

Utilize AI to generate and enhance analogy-based teaching materials that simplify complex programming concepts. Develop an AI-enabled framework aimed at improving programming education through real-world analogies in au…

This research addresses high failure rates in programming education by making abstract concepts more accessible through AI-supported analog…

You are invited to apply for a fully funded PhD investigating the intersection of artificial intelligence and software engineering. Embedded within a live venture-studio, the project explores how AI-first development re…

PhD project at the University of Auckland applying deep learning to cardiac CT and MRI analysis. Focuses on segmentation, disease modelling, and biomarker extraction to improve diagnosis and clinical decision-making in …

Industry-linked PhD at the University of Manchester with Honda Research Institute Europe, developing machine learning methods for high-dimensional multi-objective optimisation in complex systems like EV energy networks.

This PhD will develop computational workflows to generate thermodynamically consistent bond graph models from molecular dynamics simulations, bridging molecular biophysics and systems-level physiological modelling.