Artificial Intelligence Jobs in Exeter

• Exeter
• On-site
• £21,805 pa
• Entry level
• Contract

Develops explainable, trustworthy machine-learning models for early dementia detection, integrating multimodal data such as neuroimaging, cognitive assessments, genetics and biomarkers. Uses latent knowledge-enhanced representations, vision-language agentic frameworks and uncertainty quantification, with clinician evaluation of bias and fairness. Validated through a longitudinal multimodal prediction and explanation system.

MRI · PET · ADNI +2

• Exeter
• £21,805 pa
• Contract

Investigates how two neuroscience developments—astrocyte-neuron interactions and spontaneous retinal waves—can improve deep networks. The work involves adding astrocyte-inspired regularisation to training and using synaptic plasticity rules for network initialisation, then testing generalisation, robustness, explainability, learning speed and data efficiency.

• Exeter
• On-site
• £21,805 pa
• Entry level
• Contract

Develops a resource-aware AI framework for 2D and 3D medical imaging that adapts computation to case complexity, clinical risk and available hardware. Investigates where unnecessary computation occurs, builds a configurable model family, and validates it on population-scale abdominal MRI (UK Biobank) and near-patient dermatology imaging, with safety assessed across patient subgroups.

UK Biobank

• Exeter
• £21,805 pa
• Contract

Develops a multiscale Scientific Machine Learning digital-twin framework to predict thermal trajectories, torque capability and efficiency in low-speed, high-torque electric propulsion under extreme duty cycles. Combines physics-informed hybrid architectures (DNNs, neural state-space models, Neural ODEs) with safety-constrained dynamometer experiments at the Centre for Future Clean Mobility, in collaboration with marine power-systems company Ecomar Innovations.

Neural Ordinary Differential Equations · Deep Neural Networks · Recurrent Neural Networks +2

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

Develops and evaluates AI, machine learning and deep learning methods for grading retinal fundus images to detect diabetic retinopathy, glaucoma, cataract and AMD. Works with large datasets including EyePACS, UK Biobank and NHS sources, comparing algorithm accuracy against NHS clinicians and optimising explainable models for clinical trust.

OCTA · CCM · OCT

• Exeter
• On-site
• £21,805 pa
• Entry level
• Contract

Investigates whether small language models running on local workstations or on-premises servers can serve as reliable agents for bounded business workflows. The student will distil agentic capability from large teacher models via harness optimisation and fine-tuning on execution traces, measuring reliability, cost, latency and data locality, and releasing open tooling for UK SMEs.

Large Language Models

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

An interdisciplinary PhD co-designing miniaturised, low-power sensing hardware with AI for field-based wildlife monitoring, including individual recognition and automated behaviour quantification. Systems are benchmarked in controlled conditions then validated on wild jackdaws and West African field sites, spanning behavioural ecology, electronic engineering and data science.

Thermal Imaging · Cameras · Microphones

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

Develop next-generation machine learning models to predict genetic interactions from large-scale perturb-seq data, evaluating graph neural networks and autoencoders for genome-wide scalability. The purely computational project feeds a lab-in-the-loop cycle with pancreatic cancer screens from the AstraZeneca and Cancer Research Horizons Functional Genomics Centre, with results released as open-source software.

Perturb-seq · DepMap · Project Score

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

Develop intelligent spectroscopy pixels that combine quantum photodetectors, microfluidics and neural networks to study how individual bacteria respond to antibiotics. The work spans sensor materials, optical and electronic interfaces, and learning algorithms, validated against microscopy, growth and viability measurements.

2D Perovskite Photodetector · Microfluidic Platforms · Neural Network +1