Artificial Intelligence Jobs in Norwich

• Norwich
• £20,409 pa
• Entry level
• Contract

Investigates agentic AI systems that plan creative tasks, use game development tools, and iteratively refine outputs to build complete interactive 3D worlds and playable prototypes. Combines procedural content generation, multimodal generative models, tool use and multi-agent collaboration, plus automated playtesting, within a computer vision and graphics research lab targeting SIGGRAPH, CVPR and NeurIPS.

Game Engines

• Norwich
• £20,409 pa
• Entry level
• Contract

Develops and evaluates methods for reliable, localised and generalisable knowledge editing in large language models, adapting techniques such as ROME and MEMIT and comparing them with RAG, external memory and fine-tuning. Experiments use open-weight models on RTX 6000 Ada GPUs and UEA HPC, evaluated on benchmarks like CounterFact and zsRE, with optional deployment in embodied AI or social robots such as Furhat.

ROME · MEMIT · RAG +5

• Norwich
• £20,409 pa
• Entry level
• Contract

Develops hybrid fault diagnosis methods for offshore wind turbine drivetrains, combining physics-based analytical models with AI-driven data analysis to improve fault detection and reduce false alarms. The work spans numerical simulation, finite element modelling and experimental validation, with the goal of supporting predictive maintenance and cutting downtime costs.

Accelerometers

• Norwich
• £21,805 pa
• Entry level
• Contract

A four-year PhD studentship using AI-led computational protein design to build de novo immune receptors with tailored recognition-switch-execute modules for plant disease resistance. The work spans molecular biology, biochemistry, structural biology, in planta assays and plant pathology, with a three-month professional internship and collaboration with national and international partners.

• Norwich
• £21,805 pa
• Entry level
• Contract

A PhD studentship developing multispectral and hyperspectral imaging combined with machine learning to detect and classify marine litter from aerial and drone-based platforms. The researcher will characterise litter material reflectance in the lab, curate imaging datasets, and build models robust to changing illumination and sensor differences, based in the Colour & Imaging Laboratory and working with CEFAS scientists.

Drone

• Norwich
• Entry level
• Contract

Develops hybrid fault diagnosis methods for wind turbine drivetrains, combining analytical models of drivetrain physics with AI-driven data analysis to improve fault detection and classification. Work spans analytical studies, computer simulations, finite element analysis, and experimental development and validation, addressing a gap in condition monitoring for electrical faults.