Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Sheffield
- Cranfield University
- University of Bristol
- University of Nottingham
- University of Oxford
- University of Bath
- University of Bristol;
- Cardiff University
- Heriot Watt University
- Imperial College London;
- Manchester Metropolitan University;
- University of Glasgow
- VIETNAMESE-GERMAN UNIVERSITY
- 3 more »
- « less
-
Field
-
Engineering/Materials Science. You will also have good experience of finite element analysis techniques, programming (C++/FORTRAN and Python) and composites manufacturing and production processes. Appointment
-
and specialist in the areas of composite materials, structural mechanics, optimisation and finite element analysis. Apart from computational expertise, the role holder will also be comfortable in
-
simulation and optimisation. Programming (MATLAB, Python, C++, Fortran) for model development and Finite Element simulations. Statistical experimental design and analysis of data (i.e Design of Experiments and
-
speeds far beyond those of traditional finite element (FE) methods. The key innovation lies in directly modelling discontinuity lines, such as cracks, rather than relying on iterative mesh refinements
-
Mathematics, Applied Mechanics, or related disciplines (a minimum honours degree at UK first or upper second-class level) Experience in computational fluid dynamic/finite element modelling by using commercial
-
. These models will incorporate: Analytical approximations for complex biological systems Finite-element methods for solving partial differential equations Stress-strain balance calculations Mass-transfer
-
of DFCs open more opportunities for recycling and reuse because the fibres in recycled materials are usually of finite lengths. Virtual manufacturing uses process simulation as a core component to create
-
techniques. Classify and characterise microstructural defects during the machining process, with a view to devising tooling and parameter modifications. Carry out analytical modelling and finite element
-
to isolate geometric features of interest for further dataset curation and training Develop tools which interface between the trained predictor / inference models and structural finite element model generators
-
mathematics, with proven research contributions in finite element methods, boundary element methods, numerical methods for partial differential equations (PDEs) with uncertainties, and related areas