Coventry University Featured PhD Programmes
Imperial College London Featured PhD Programmes
Coventry University Featured PhD Programmes

Research-based 3D modelling of Renaissance built environments: workflow, uncertainty and standards


College of Humanities

This project is no longer listed on FindAPhD.com and may not be available.

Click here to search FindAPhD.com for PhD studentship opportunities
Prof F Nevola No more applications being accepted Competition Funded PhD Project (Students Worldwide)

About the Project

Research Project Summary:

The University of Exeter and the National Gallery, London are pleased to announce the availability of a fully funded Collaborative doctoral studentship from October 2021 under the AHRC’s Collaborative Doctoral Partnership Scheme. We seek to recruit and train a PhD student who will work in the field of 3D digital reconstruction, and its associated methods and standards. The project will develop and apply innovative methodologies to examples relating to the art and architecture of Renaissance Florence connecting with the National Gallery collections, most likely one or more artworks originally produced (c. 1400-1550).

Project Description:

The PhD project has a core focus on the technical application of 3D modelling to heritage and museums contexts, built around key case examples centred on selected works in the National Gallery, to reconstruct their original settings and environment. The candidate will adopt and further develop the workflow that has been developed for research-based modelling as part of the Florence4D project (led by Prof Fabrizio Nevola); particular attention will be given to establishing standards for the application of IIIF to 3D models and going beyond the specific technical task to develop and resolve some of the research questions that arise from the process. The project case examples focus on artworks originally produced in Florence, framing these through spatial digital technologies, primarily interoperable 3D modelling. It should be noted that the project is 'covid-proof' in that much of the necessary data collection (in the form of high resolution lidar scans and photogrammetry) has already been conducted, meaning that desk-based work can begin from the outset.

Research questions include:

- How can 3D models be aligned to structured data (CIDOC CRM) to enable querying of models and their underlying data?

- How might IIIF be adopted and adapted to 3D contexts to enable the interoperable sharing of data?

- How might the proposed workflow for the creation of research-based 3D models develop and update existing (but superseded) standards (London Charter, 2006 and updates; Seville Principles 2013)

- How might the 3D models created within the context of this PhD project be redeployed into multiple contexts for the benefit of museum users (animations, viewers, apps)

- How might the project inform the development of a simplified and shareable system for wider adoption by smaller galleries and museums?

Applicants should ideally have or expect to receive a relevant Masters-level qualification, or be able to demonstrate equivalent experience in a professional setting. Suitable disciplines are flexible, but might include: Archaeology, Art History, Digital Humanities, or Conservation Science. Prior skills and experience are essential: 3D modelling, photogrammetry, immersive design and visualization.

For more information about the project and informal enquiries, please contact the primary supervisor, Professor Fabrizio Nevola [Email Address Removed]  


Funding Notes

UK rate tuition fees and an annual maintenance allowance at current Research Council rate of £15,609 per year (UKRI stipend rate for 2021/22). Award holders will also receive a Collaborative Doctoral Partnership maintenance payment of £550 per year and a partial London weighting of £1,000 per year as the partner organisation is in London. The University of Exeter will cover the difference between the UK fee and the International fee.
Search Suggestions

Search Suggestions

Based on your current searches we recommend the following search filters.



FindAPhD. Copyright 2005-2021
All rights reserved.