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Postdoctoral Research Assistant in Discrete Dislocation Dynamics Modelling of Diffraction Experiments

University of Oxford - Department of Engineering Science

Location: Oxford
Salary: £33,309 to £40,927 per annum, Grade 7
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 7th January 2022
Closes: 31st January 2022
Job Ref: 155347

Location: Central Oxford

We are seeking a full-time to join the Solid Mechanics and Materials Engineering Group at the Department of Engineering Science (central Oxford).  The post is funded by (The Leverhulme Trust) and is fixed-term (3 years).

Your main objectives will be:

1) Develop our 3D discrete dislocation dynamics code to simulate diffraction patterns and their time evolution.

2) Work with experimental collaborators on the project to help analyse and interpret in-situ DAXM data (3D diffraction experiments)

3) Train the model with machine learning using simulated and real diffraction data from in-situ tests.

You should possess a PhD in a relevant subject, with experience of discrete dislocation dynamics modelling and coding experience in Matlab. Good communication skills and working as part of a team are essential. Basic knowledge of relevant materials science (elasticity, dislocation theory and crystallography) is desirable. Other relevant experience which is desirable but not essential include: coding in C, CUDA, or Matlab/GPU computing, using Github to maintain code and experience of using machine learning.

Informal enquiries may be addressed to Prof. Ed Tarleton (email: edmund.tarleton@eng.ox.ac.uk)

Only online applications received before midday on 31st January 2022 can be considered. You will be required to upload a covering letter/supporting statement, including a brief statement of research interests (describing how past experience and future plans fit with the advertised position), CV and the details of two referees as part of your online application.

The Department holds an Athena Swan Bronze award, highlighting its commitment to promoting women in Science, Engineering and Technology.

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