Sort by
Refine Your Search
- 
                
                
                Department: Materials Title: Improving the sustainability of engineering plastics Application deadline: 27/02/2026 Research theme: Polymers and composites How to apply: https://uom.link/pgr-apply 
- 
                
                
                energy? This PhD offers a rewarding chance to become a materials science expert, combining cutting-edge characterisation with real-world industrial impact. At the University of Manchester, working in 
- 
                
                
                computations possible [1]. However, proven scientific applications for quantum computing remain mostly limited to quantum chemistry, materials, and particle physics. Since CFD is one of the most demanding use 
- 
                
                
                to build molecular machines and new materials. The ability of their subcomponents to undergo large amplitude displacement, such as macrocycle shuttling in a rotaxane, make them ideal structures 
- 
                
                
                using both mono-material and blended fibre systems to meet the mechanical, chemical, and thermal demands of diverse industrial processes. While mono-material felts offer simplified recyclability, blended 
- 
                
                
                performance through physics-driven insulation material design. Applicants should hold a first-class (or equivalent) degree in a relevant engineering or science discipline (upper second class may be considered 
- 
                
                
                materials interact with the body. This project addresses that gap by engineering a 3D-printed full-thickness skin model that mimics the aging microenvironment, enabling more predictive evaluation of novel 
- 
                
                
                to increase each year. Tuition fees will also be paid. Home students are eligible. A funded PhD studentship is available in the field of computational inorganic chemistry. The project will involve prediction 
- 
                
                
                , an important concept within physics, chemistry and biology, but one that lacks a full mathematical understanding. This project will tackle questions relating to universality within the KPZ class of models. Some 
- 
                
                
                challenges in engineering Desirable: Experience with mathematical modelling, optimisation techniques, or supply chain analysis Background knowledge in bio-based materials, biorefineries, or circular economy