[School of Engineering PhD Scholarships] Advancing Computer Graphics through AI-Driven Neural Rendering

About the project

About the Project AI for the Future of Computer Graphics Computer graphics is increasingly being transformed by Artificial Intelligence. This PhD project will explore how AI can make the creation of realistic digital content faster, more efficient, and more accessible, with a particular focus on neural rendering and AI-driven material generation. The project sits at the intersection of Computer Graphics and Artificial Intelligence, combining expertise in both areas. The successful PhD student will investigate how modern machine learning and neural techniques can be used to automate and accelerate challenging graphics tasks, such as creating realistic materials and digital assets. A particular focus will be on complex materials such as marble, cloth, hair, and other surfaces whose appearance is difficult to reproduce using traditional computer graphics techniques. The student will explore how AI can learn the visual and physical characteristics of such materials and generate realistic results efficiently across different scenes, lighting conditions, and viewpoints. The research will combine computer graphics, machine learning, deep learning, and neural rendering, with opportunities to investigate emerging AI techniques and develop new methods for graphics production. The work will also be evaluated using realistic, industry-relevant assets and challenges through a collaboration with Weta FX, a world-leading visual effects company. The student will receive interdisciplinary supervision and training in both AI and computer graphics, as well as opportunities to engage with industry experts and gain practical experience through an offered internship with Weta FX. This project is ideal for candidates interested in the intersection of AI, computer graphics, visual effects, and generative technologies, and who want to develop techniques that could contribute to the next generation of digital content creation and visual effects. This project is expected to start in September 2027. Before you apply: We strongly recommend that you contact the supervisors for this project before you apply. How to apply: To be considered for this project you must complete a formal application through our online application portal. If you already have an applicant account this link will directly open an application for PhD School of Engineering Scholarships . If you don’t already have an applicant account, please follow the instructions here. . When applying, please specify the full title and supervisor/s of the project, details of your previous study, and names and contact details of two referees. You must also upload a Supporting Statement describing the motivation to apply to the project, your CV and transcripts of awarded and in-progress university qualifications . Please note late or incomplete applications will not be considered. Equality, diversity and inclusion are fundamental to the success of The University of Manchester and central to all our activities. A diverse research community strengthens creativity, productivity and quality, while increasing the societal and economic impact of our work. We welcome applicants from all career paths, backgrounds and sections of the community, regardless of age, disability, ethnicity, gender, gender expression, sexual orientation or transgender status. We welcome applications from candidates returning to study after a career break or experience in other roles. Flexible study arrangements may be available, including part-time study at 50%, 60% or 80%, subject to the requirements of the project and funder. Eligibility : The standard academic entry requirement for this PhD is an upper second-class (2:1) honours degree in a discipline directly relevant to the PhD Computer Science or relevant subject (or international equivalent) OR any upper-second class (2:1) honours degree and a Master’s degree at merit in a discipline directly relevant to the PhD Computer Science or relevant subject (or international equivalent). This project will remain open until filled. If your application is submitted by 1 st November 2026, you can expect a decision by 18 th December 2026. If your application is submitted by 15 th January 2027, you can expect a decision by 30 th March 2027. Self or externally funded students can also be considered for this project. FSESoE

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