PhD Studentship: Multiview image capture for accurate geometry and appearance reconstruction of historical textiles.

at UWE, Bristol - College of Arts, Technology and Environment
Published February 13, 2023
Location Bristol, United Kingdom
Category Deep Learning  
Job Type Scholarship  


Project Title: Multiview image capture for accurate geometry and appearance reconstruction of historical textiles.

An opportunity to apply for a funded full-time PhD in the College of Arts, Technology and Environment, UWE Bristol.  The studentship will be funded by UWE Bristol.

Ref 2223-APR-CATE11

The expected start date of this studentship is 01 April 2023

The closing date for applications is 06 March 2023.

An opportunity to apply for a funded full-time PhD at the Centre for Print Research (CFPR), College of Arts, Technology and Environment, UWE Bristol and in collaboration with the Bristol Robotics Laboratory (BRL).

The Centre for Print Research (CFPR) is a distinctive centre of research excellence based at the University of the West of England. It is a unique, multidisciplinary group that combines knowledge and skills across traditional and digital techniques across a wide range of sectors, including fine art, design, material science and engineering.

The Bristol Robotics Laboratory (BRL) is the most comprehensive academic centre for multi-disciplinary robotics research in the UK. The Centre for Machine Vision (CMV) within the BRL specialises in machine vision and deep learning techniques from fundamental research to wide-ranging applications, with a strong focus on 3D imaging.

Studentship Details

This fully funded PhD studentship aims to develop prototypes and practical workflows for low-cost high-resolution image-based capture and reconstruction of large textile surfaces, the results of which will contribute to the conservation, analysis, and presentation of historic textile collections.

This is a cross-disciplinary PhD suitable for a candidate interested in computer vision or computer graphics with strong interest in digital humanities research. Alternatively, the candidate might be from a heritage/conservation background with interest in image processing and surface reconstruction.

For an informal discussion about the studentship, please email Dr Xavier Aure at

Funding details

The studentship is available from 01 April 2023 for a period of three years, subject to satisfactory progress and includes a tax-exempt stipend, which is currently £17,668 (2022/23) per annum.

In addition, full-time tuition fees will be covered for up to three years (Home).


This will be a three and a half years full-time PhD. The project is ideal for a self-motivated and enthusiastic student with a good honours degree (2:1 or equivalent, or above) in a relevant field, ideally with further study at Masters level or equivalent. Applicants with knowledge or experience in the following are particularly welcome: 3D reconstruction methods; software development and prototyping using Python; machine learning; and multispectral imaging.

A recognised English language qualification is required for applicants whose first language is not English.

How to apply

Please submit your application online. When prompted use the reference number 2223-APR-CATE11

Supporting documentation: you will need to upload your research proposal, all your degree certificates and transcripts and a recognised English language qualification is required.

References: you will need to provide details of two referees as part of your application.

Closing date

The closing date for applications is 06 March 2023.

Further Information

It is expected that interviews will take place during March. If you have not heard from us end of March, we thank you for your application but on this occasion you have not been successful.