The Visualising Canterbury Castle project is recruiting two 3D production interns to support the development of the project over the coming months. The project will reconstruct Canterbury Castle’s Norman keep using the Unreal Engine games engine and Blender 3D modelling software. Working with a group of CCCU academics and a lead 3D artist, the successful candidates will use historical information and data collected in a series of engagement sessions to assist in the production of an informative and interactive digital experience.

These roles are open to current CCCU students and alumni who have graduated in the last year. You can find details about the role here on the Unitemps website.

Applications should be submitted via Unitemps by May 9th. Interviews are planned for May 23rd.

We are also asking applicants to complete a 3D modelling task as part of the submission.

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Selection Task for 3D Production Intern Role

Please submit the following task to Prof Alan Meades by 5 PM on Friday, May 9^th.

Applicants are invited to demonstrate their expertise in 3D modelling, texturing, and optimisation, and in conducting research in relation to limited or partial reference materials. This task simulates the kind of activities that are required in this post.

You are required to produce an Unreal 5 ready, fully textured, accurate recreation of a High-Status Chair as seen in King’s Chamber, Dover Castle (https://historicengland.org.uk/education/schools-resources/educational-images/kings-chamber-dover-castle-dover-10711).

 You will need to conduct research to identify the chair’s shape, size, materials, and ornamentation, and then model and texture it to the best of your abilities.

You must submit your textured model as an FBX (with any supporting files), using an accessible OneDrive / Google Drive no later than 5pm on May 9th. The model should be properly unwrapped and textured, with a maximum of 10k tris.

Please send your work task submission via email, including your full name, preferred contact details, and indication of the time taken to produce the model to Prof. Alan Meades on alan.meades@canterbury.ac.uk.