Spatial Computing and Artificial Intelligence Engineer (KTP Associate)
AI, advanced spatial computing, intelligent 3D visualisation platform
- Using 3D spatial cameras for modelling railway station infrastructures / facilities to visualise passenger routes and identify objects, assets and areas posing accessibility issues for customers.
- Develop digital 3D mapping tools for capturing passenger routes based on captured video, dense point cloud, spatial and localisation data/processes for generating interactive 3D video guides / walkthrough of railway stations
- Develop and optimise realistic 3D Gaussian Splat models of railway stations / assets from captured 2D photos and videos, ensuring visual quality, spatial accuracy, performance across diverse computationally constraint hardware platforms and interfaces
- Apply state of the art machine learning models for object detection, scene segmentation with the integration of sensor data on operational / usage patterns to identify accessibility issues and risks to customers
- Integrate conversational AI into assistive digital applications for generating personalised, location aware interactive immersive visual walk throughs and accessible route suggestions based on customers’ needs and circumstances.
- Building 3D visualisations for augmented / virtual reality-based interfaces
- Working both independently and as part of a team as both a project manager and a lead researcher
- Balancing innovation with practical implementation
- Working collaboratively with operational staff, senior management, software teams and external rail stakeholders
- Embedding technology and upskilling company staff
- Participating in academic and/or industrial conferences and other events to disseminate research outcomes
- Preparation of academic papers and patent applications
These duties are a guide to the work that the post holder will initially be required to undertake. They may be changed from time to time to meet changing circumstances.
As a KTP Associate, the post will offer the following benefits:
- A personal development budget of £5,500 (exclusive of salary).
- Management training and mentoring by an Innovate UK KTP Adviser.
- An interesting and challenging role, with exposure to a variety of stakeholders.
- Full access to university resources to complete the project.
- World-leading Academic and Company project supervision, with project support by a dedicated, sector leading KTP Office.
For the ‘Person Specification’ (qualifications / training, experience / knowledge, skills / abilities, other) details please refer to the Job Pack REQ10223.
The University of Essex in partnership with Railscape Limited offers an exciting opportunity to a graduate with the relevant skills and knowledge to develop an intelligent 3D visualisation platform that provides personalised, accessibility-aware 3D walkthroughs of rail stations and other major infrastructure sites using advanced spatial computing and AI.
About the business
Railscape Limited is a specialist services provider to the rail industry. Our head office is located in Rayleigh in Essex, supported by regional offices in Kent, Humberside, Preston and Dorset. Our vision is to be the preferred supplier to the rail industry for all aspects of Arboriculture, Vegetation Management, Environmental Services, Minor Building Construction, Civil Works & Fencing. The majority of Railscape’s revenue is generated from providing contracted services to the UK’s train operators and Network Rail.
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Spatial Computing and Artificial Intelligence Engineer (KTP Associate) in Rayleigh employer: The Knowledge Transfer Network Limited
The Knowledge Transfer Network Limited is an exceptional employer, offering a dynamic work environment in Glasgow that fosters innovation and collaboration. With a strong commitment to employee growth, we provide opportunities for professional development in the rapidly evolving field of digital mental health and AI ethics. Our inclusive culture encourages creativity and teamwork, making it a rewarding place for those passionate about making a meaningful impact in mental health services.
Contact Details:
The Knowledge Transfer Network Limited Recruitment Team