Spatial AI Engineer for 3D Visualization & Accessibility

University of Essex; Rayleigh; On-site; GBP 29,000 - 36,000; Full time

Job summary

The University of Essex, in partnership with Railscape Limited, invites applications for a graduate to develop an intelligent 3D visualization platform that provides personalised, accessibility-aware 3D walkthroughs of rail stations and other sites using spatial computing and AI.

You will work on 3D mapping, Gaussian Splat models, and ML-based object detection, while embedding conversational AI for location-aware route suggestions.

Qualifications

• Master’s degree in AI/CS/Robotics or related field.
• Experience with 3D spatial cameras and Gaussian Splat techniques.
• Proficiency in Python; knowledge of C++ and CUDA is desirable.

Responsibilities

• Develop 3D visualisation tools for accessible rail station walkthroughs.
• Apply ML models for object detection and scene segmentation.
• Integrate conversational AI for location-aware recommendations.
• Collaborate with Railscape and university teams; present at conferences.
• Publish academic papers and patent applications.

Skills

3D visualization

Python

C++

CUDA

Deep learning

Machine learning

AI

Education

Master’s degree in AI

Tools

Gaussian Splat

LiDAR

SLAM

Job description

The University of Essex, in partnership with Railscape Limited, invites applications for a graduate to develop an intelligent 3D visualization platform that provides personalised, accessibility-aware 3D walkthroughs of rail stations and other sites using spatial computing and AI.

You will work on 3D mapping, Gaussian Splat models, and ML-based object detection, while embedding conversational AI for location-aware route suggestions.