This post forms part of a research project in the area of Computer Graphics and Rendering, focusing on the development of advanced AI-driven methods for photorealistic material appearance modelling. The successful candidate will join the Department of Computer Science within the School of Engineering, which has a world-leading reputation in foundational and applied computer science research, including graphics, vision, and machine learning.
Applicants must hold a PhD in Computer Graphics, specifically in Rendering or a closely related field. The position offers an opportunity to contribute to cutting-edge research at the intersection of physics-based rendering, neural rendering, and visual computing, working in collaboration with academic and cultural heritage partners.
Overall Purpose of the Job
The purpose of this role is to conduct high-quality research in AI for rendering and photorealistic imaging, with a particular focus on neural rendering for cloth and fabric materials. The project aims to integrate machine learning techniques into the rendering pipeline to enable the digital reproduction of complex fabrics with physically accurate visual properties.
In collaboration with museum and cultural heritage partners, the research will explore how advanced rendering and generative AI can be used to digitally reconstruct, complete, and reimagine ancient textile collections. The ideal candidate will have experience in computer graphics, rendering algorithms, and AI/ML-based appearance modelling, and will contribute to both the scientific advancement and public engagement aspects of this interdisciplinary project.
Manchester has a long and distinguished track record in the research and teaching of core Computer Science, and across interfaces to adjacent disciplines. Founded upon the pioneering work of Williams, Kilburn and Turing, the School was the first academic Department of Computer Science in the UK and one of the first to run an undergraduate programme. The research strength of the school is reflected in consistently strong returns in UK research assessment exercises (5* in RAE 2000, 2nd in Research Power in RAE 2008, and ranked equal 1st for research environment in REF2014 and REF2021).
The Department is strongly committed to promoting equality and diversity, including the Athena SWAN charter for gender equality in higher education. The Department holds a Bronze Award for their good practice in relation to gender; including flexible working arrangements, family-friendly policies, and support to allow staff to achieve a good work-life balance. We positively welcome applications from women for this post. All appointments will always be made on merit. For further information, please visit:
Our University is positive about flexible working - you can find out more here
Hybrid working arrangements may be considered.
Please be aware that due to the number of applications we unfortunately may not able to provide individual feedback on your application.
Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.
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Any CV's submitted by a recruitment agency will be considered a gift.
Enquiries about the vacancy, shortlisting and interviews:
Name: Zahra Montazeri
Email:
General enquiries:
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This vacancy will close for applications at midnight on the closing date.
Please see the link below for the Further Particulars document which contains the person specification criteria.