-
PhD at the Forefront of Computational Solid Mechanics and Machine Learning School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Dr J L Curiel Sosa Application
-
the chemical reaction mechanisms and kinetics, and the resultant evolution of phase assemblage and structure at the nano and micro scale, which ultimately dictate mechanical performance. These changes, as
-
models? How can machine learning and computer vision models be adapted to accurately classify the different tool wear mechanisms (like abrasion, adhesion, diffusion, and fracture) from high-resolution
-
degree in a relevant discipline (Robotics, Electrical/Electronic Engineering, Computer Science, Mechanical Engineering, or related fields). - Strong mathematical background and good programming skills
-
quality metrics, such as the 'white etching layer' and roughness. Validate the models through full-scale tests on ground rail. What You Will Gain: By joining the only UK-based research group focused on rail
-
EPSRC iCASE PhD studentship with SLB - Computational modelling of advanced geothermal systems School of Mechanical, Aerospace and Civil Engineering PhD Research Project Directly Funded UK Students
-
powder physical/chemical characteristics, lead to different physical and chemical characteristics and physical properties, due to extensive differences between aqueous and solid-state chemistry in each