33 engineering-computation-"https:" "https:" "https:" "https:" "https:" positions at University of Bristol
Sort by
Refine Your Search
-
, etc.), and wider impact and engagement. You have: A PhD in Computer Science, Human-Computer-Interaction, or a closely related technology discipline, or extensive relevant industrial/commercial
-
Faculty of Engineering, and how the Faculty supports people to achieve their potential, please see our staff blog: https://engineering.blogs.bristol.ac.uk/category/engineering-includes-me/ Contract type
-
technologies, including VR, AR, MR, XR, and related fields. Contribute to programme design, accreditation, and innovative teaching strategies that enhance student experience and employability. Research
-
Faculty of Engineering, and how the Faculty supports people to achieve their potential, please see our staff blog: https://engineering.blogs.bristol.ac.uk/category/engineering-includes-me/ Contract type
-
digital media. Play a pivotal role in programme accreditation, curriculum enhancement, and innovative teaching strategies that improve student experience and employability. Research & Mentorship Maintain a
-
Engineering with AI (first intake September 2026). The successful candidate will contribute to the design, delivery, and potentially leadership of this programme. You will also support undergraduate teaching in
-
Unity, Unreal Engine, Autodesk Maya, Blender, motion capture, photogrammetry, spatial audio, and VR/AR hardware. You can apply for the role at the below link - https://emeritus.darwinbox.in/ms/candidate
-
@bristol.ac.uk To find out more about what it's like to work in the Faculty of Engineering, and how the Faculty supports people to achieve their potential, please see our staff blog: https
-
). To find out more about what it's like to work in the Faculty of Engineering, and how the Faculty supports people to achieve their potential, please see our staff blog: https
-
The Atmospheric Chemistry Research Group (ACRG) and School of Engineering Mathematics at the University of Bristol have developed GATES, a graph neural network (GNN) machine learning model that can