21 high-performance-quantum-computing-"https:"-"https:" PhD positions at Loughborough University
Sort by
Refine Your Search
-
Vision Laser processing is fundamental to advanced manufacturing, powering precision welding in battery manufacturing, high-performance turbine drilling, and cutting advanced materials for clean
-
This exciting project aims to experimentally and theoretically investigate the fundamental nucleation and heat transfer mechanisms in high-pressure flow boiling, in particular Critical Heat Flux
-
This exciting project aims to experimentally and theoretically investigate the fundamental nucleation and heat transfer mechanisms in high-pressure flow boiling, in particular Critical Heat Flux
-
Imagine a world where sensors don’t just collect data, they think. With the exponential growth of the Internet of Things (IoT) and edge computing, the demand for ultra-low-power systems that can
-
develop AI- and deep learning–based computer vision tools to automatically identify and quantify intertidal organisms. Beyond computer vision, it will leverage machine learning for large-scale, data-driven
-
, or expect to shortly graduate with, a very good undergraduate or master’s degree (at least a UK 2:1 honours degree) – or an equivalent international qualification from a high ranking university – in a
-
assessment (DIAMOND), a stimulating, high-level European Doctoral programme including 16 PhD students trained in several European countries. Note that this PhD will be awarded by Loughborough University, but
-
applied metrology and robotics. Vision This project addresses the challenge of rapidly and autonomously generating high-precision 3D reconstructions of large-scale complex assets. Uniquely, it integrates
-
integration technologies to create the next generation of smart textile and wearable systems for high performance sports (e.g., running) and rehabilitation applications (e.g., recovery monitoring
-
manufacturing sectors, from SMEs to large global manufacturers. For details, visit the MTC website . Entry requirements: A 1st or high 2:1 degree in computer science, manufacturing/industrial engineering, data