|Salary:||£29,176 to £39,152 per annum|
|Placed On:||31st August 2021|
|Closes:||24th September 2021|
Salary: £29,176 to £39,152 per annum
Hours: Full time
Contract Type: Fixed term contract until 30/11/2023
Advert Closes: Friday 24 September 2021
Job Reference: 0314-21
This is a fantastic opportunity to work on the H2020-SPACE project, ATLAS (Advanced Design of High Entropy Alloys Based Materials for Space Propulsion) as a Researcher in Advanced Computational Engineering.
Development of next generation space exploration propulsion systems requires high temperature materials with low density, high strength and ductility, oxidation resistance and good creep properties. High Entropy Alloys (HEA) have been identified as a possible replacement for superalloys in propulsion systems components due to their potential high specific strength and oxidation resistance at high temperatures. The overall aim of the ATLAS project is to capitalise the experience of the current advancements on HEA materials and structures and develop the necessary key enablers to allow the use of HEA based solution in Space propulsion. To achieve this goal, ATLAS will adopt a multidisciplinary materials design framework that advances the state-of-the-art of High Entropy Alloys and related materials compounds towards the practical needs (current and future) of the space propulsion industry.
As a researcher on this project, you'll contribute to the development of new knowledge and techniques to the research project as well as appropriate research methodologies. You'll analyse and write up research findings and assist in the development of student research skills.
To be successful in this role you must have theoretical and practical knowledge of Integrated Computational Materials Engineering (ICME) methods. In particular, you'll be familiar with different computer languages, e.g. C++ and Fortran; Finite Element Method (FEM) and/or Computational Fluid Dynamics (CFD). This position has funding for up to two years and is available from 1 October 2021.
A PhD, or evidence of equivalent experience, in disciplines such as Engineering, Applied Mathematics or Computational Physics is required.
For informal enquiries, please contact Professor Angelo R Maligno; email: firstname.lastname@example.org.
For more information and to apply on-line, please click the “Apply” button below.
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