Closing date. 31st December 2025. This project, co-funded by QinetiQ, aims to develop advanced technologies for defence and security by creating a heterogeneous SiN-GaAs platform for a coherent Frequency-Modulated Continuous Wave (FMCW) LiDAR operating at the 1-µm wavelength band. . Read more
At present, indoor unmanned vehicles are becoming more and more popular, but there are still many problems in their navigation and positioning algorithms, especially blind spots, edge-to-edge sweeping and spinning problems. Read more
Project Description. This project will address the urgent requirement for new photonics tools in the mid-infrared (mid-IR) spectral region to police stricter greenhouse gas (GHG) emission standards and to progress imaging capabilities in poor visibility for security applications. Read more
3-D multi pixel detectors for advanced localisation and detection of radiation sources. Supervisors. Prof. Tom B. Scott (University of Bristol), Dr Stephen Bell (NPL, National Nuclear Laboratory), Dr David Megson-Smith (University of Bristol). Read more
Tropical forests play a pivotal role in global climate regulation, as well as supporting vital ecosystems and rich biodiversity. Despite the importance of the Amazon, as the largest and most species-rich forest on Earth, vast remote regions of this territory remain severely under surveyed. Read more
Anomaly detection, and the synonymous topics of novelty and out-of-distribution detection, addresses the computer vision ("visual AI") challenge of automatically identifying outliers within the scene or image based on their appearance, motion or behaviour characteristics. Read more
Graph theory and graph networks play a crucial role in examining multi-modal remote sensing data owing to their capacity to depict intricate connections and interactions within the data. Read more
Project Description. The detection and monitoring of substances from a distance is extremely important to several industrial production and safety processes. Read more
UCL’s Department of Computer Science offers fully-funded Home studentships, starting September 2025. Deadline for applications is 21st February 2025. Read more
Providing semantic information to point cloud data presents a critical task in many applications. Point-based segmentation methods are accurate but computational complex, making them unsuitable for handling large-scale point cloud datasets. Read more
This fully funded PhD project is part of the QUARTILES Doctoral Landscape Award, a BBSRC and NERC-funded research and training programme designed to equip… Read more
The increasing congestion of Earth's orbit with satellites and debris poses significant challenges in space activities, while sensors from space provide valuable data about the Earth to inform net zero. Read more
Human data is centric to many computer science, machine learning and biomedical engineering research. Such data includes human images/videos, motions and trajectories, medical images (X-ray, MRI, CT), faces, gestures, medical records, etc. Read more
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