Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Sheffield
- Cranfield University
- University of East Anglia
- University of Exeter
- AALTO UNIVERSITY
- Brunel University London
- Imperial College London;
- King's College London Department of Engineering
- Manchester Metropolitan University
- Manchester Metropolitan University;
- The University of Edinburgh
- The University of Manchester
- The University of Manchester;
- University of Birmingham
- University of Birmingham;
- University of Bristol
- University of Cambridge;
- University of East Anglia;
- University of Hull
- University of Leeds;
- University of Newcastle
- University of Plymouth
- University of Surrey
- 13 more »
- « less
-
Field
-
Nagaraj: M.Nagaraj@leeds.ac.uk Project summary Liquid crystals are ordered fluids which display birefringence and dielectric anisotropy. These properties allowed them to revolutionise display technologies
-
flows, and to have developed skills in experimental fluid mechanics, statistics, data processing, machine learning, and mathematical modelling. Supervisors: Dr Kostas Steiros Duration: 3.5 years. Funding
-
, multidisciplinary research environment combining experimental surface physics, nanotechnology, and fluid dynamics. In return, we are looking for a candidate who has: A suitable academic background in physics
-
modelling and behavioural science. The first part will be based on the use of Computational Fluid Dynamics (CFD) to diagnose the air quality of indoor spaces where people live and work (presence of pollutants
-
computational fluid dynamics and numerical modelling will be used to simulate performance under varying runoff scenarios, pollution loads and climate conditions. By developing advanced road gully designs with
-
at the micrometre scale that can propel themselves through fluids, mimicking natural swimming organisms such as bacteria forms. Using biological building blocks found in cells and encapsulating them inside vesicles
-
Due to unique properties of supercritical CO2 (sCO2), power generation systems using sCO2 as working fluid have many advantages over their counterparts, such as gas turbines and steam turbine power
-
model of high-pressure mechanical seals. Apply Computational Fluid Dynamics (CFD): Simulate gas film flow within the microscopic seal gap. Couple CFD with Structural Models: Study the fluid-structure
-
applicant must have (or be close to obtaining) a relevant PhD in Fluid Mechanics from an Engineering, Mathematics or Physics Department, a strong background in theoretical and computational fluid mechanics
-
critical, to ensure expected engine performance is achieved. To predict this complex flow and heat transfer, next-generation Computational Fluid Dynamics (CFD) solvers using Large-Eddy Simulation (LES) and