Fully Funded PhD Opportunities in Computational Culture, Heritage, AI, and XR
The BNBU Centre for Computational Culture and Heritage | NVIDIA Deep Learning Institute is now officially inviting applications for fully funded PhD positions at the forefront of computational culture, digital heritage, artificial intelligence, and immersive technologies.
We are seeking outstanding PhD candidates who are ready to push the boundaries of AI, deep learning, machine learning, and XR (VR/AR/MR) to preserve, interpret, and communicate art, culture, and heritage through advanced computational approaches.
The Opportunity
As a PhD candidate at our Centre, you will join a unique research environment that brings together world-class scholars, advanced research infrastructure, and NVIDIA expertise. This distinctive partnership ensures that your research is grounded in both cultural and historical significance and the latest GPU-accelerated computational technologies.
Candidates will have the opportunity to work on ambitious, high-impact projects that address some of the most important challenges in the preservation and communication of human culture in the digital age.
Research Themes
We welcome proposals aligned with one or more of the following research themes:
Dynamic Cultural Reconstruction
Investigate advanced 4D capture, motion analysis, and volumetric techniques to document, reconstruct, and visualise living traditions, embodied practices, and human movement within immersive environments.
Next-Generation Asset Pipelines
Develop intelligent computational workflows that bridge the gap between raw spatial and cultural data and high-fidelity, production-ready assets for games, virtual experiences, and cinematic heritage applications.
High-Performance Heritage Environments
Explore GPU-accelerated rendering, simulation, and geometry management techniques to bring large-scale, complex historical landscapes and cultural environments to life in real time.
Intelligent Historical Systems
Apply Agentic AI, world models, and large language models (LLMs) to simulate historical scenarios, analyse classical literature and cultural records, and create interactive, persona-based systems for research, learning, and public engagement.