Postdoctoral Research Assistant in Computational Plasma Physics

Updated: about 2 years ago
Location: Oxford, ENGLAND
Deadline: 21 Feb 2022

Applications are invited for a Postdoctoral Research Assistant in Computational Plasma Physics.

The post is available a fixed-term duration of 4 years, subject to funding.

The focus of this project is to develop novel spectroscopic techniques in high energy density physics, such as resonant inelastic x-ray scattering (RIXS), and field them in experiments at large-scale x-ray free-electron laser (XFEL) facilities. Using these techniques, we aim to measure directly the electronic structure of extreme states of matter, and understand how it evolves under material compression and phase transformation. Recently published related work can be found here:

The successful candidate will work within the wider research group and lead our efforts on the theoretical and computational aspects of the project, including running and developing predictive simulations (atomic kinetics, density functional theory, molecular dynamics, etc.) and deploying modern data analysis approaches leveraging various aspects of machine learning and differentiable programming. The candidate will endeavour to connect these theoretical and computational results with the experimental measurements obtained within the wider research group and collaboration.

The post-holder will have the opportunity to teach.

Applicants should hold a PhD, or be close to completion, in physics or a related field, and have a strong background in computational plasma physics or more general electronic structure techniques.

Previous experience in the computational modelling of x-ray interactions with matter at high densities be an advantage.

Candidates are expected to demonstrate the ability to work independently on cutting-edge research projects, to communicate their research, objectives, and interests effectively, and to work well within a larger international research environment.


Please direct enquiries about the role to Sam Vinko ([email protected]).

The closing date for applications is 21 February 2022 at noon.



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