10 postdoc-in-distributed-systems-and-controls-"Multiple" PhD positions at Loughborough University
Sort by
Refine Your Search
-
-driven shifts in species distributions. Currently, barnacles and other species are manually counted from over 3,000 images each year, which is time-consuming and prone to human error. This project will
-
designed to meet multiple needs in marine biodiversity monitoring. The project aims to develop embedded novel deep learning and computer vision algorithms to extend the system’s capabilities to classify
-
, the system will analyse data across multiple scales—from broad landscape views to microscopic symptom detection. Through vision–language AI models, the framework will interpret visual and textual data
-
. road, power distribution). This project will develop new insights into what drives flooding and extreme wind to co-occur on timescales from (sub-)daily to seasonal. Our recent work suggests that
-
traditional forecasting with IoT offers a cost-effective, long-term solution for continuous environmental monitoring. Central to this approach is the use of self-powered sensing (SPS) nodes, which harvest
-
lacks good surface finishing quality. This project will investigate the science behind titanium chemistry and surface finishing for the control of porosity in engineered lattice components
-
(CHF) phenomena – the prediction of which is key to safely designing and operating water based nuclear reactors. Current industrial modelling tools necessitate excessively conservative safety margins
-
, the project accelerates trait data acquisition by applying computer vision to herbarium specimens and field photos, as well as large language models to extract complementary information from literature and
-
solutions, such as green roofs, shaded streets, and stormwater systems, can cool cities in ways that are not only effective but also socially just. Using UK-wide temperature and fine-scale socio-environmental
-
, there is a critical need to develop and implement life cycle carbon accounting tools and optimization techniques tailored to the specific operations and materials used in the pipe industry. This PhD is co