Grade UE07: £39,347 - £46,974
College of Science and Engineering / School of Physics & Astronomy
Contract type: Full-time (35 hours per week)
Fixed-term: until November 2026
The Opportunity:
We are looking for a Postdoctoral Research Associate in Atomistic and Micromagnetic simulations of advanced magnetic compounds for the next generation of information technologies (e.g., hard drives, memories, etc.).
The position will be located at the School of Physics and Astronomy at the University of Edinburgh in the group of Dr Elton Santos. The group is an active member of the Higgs Centre for Theoretical Physics developing several activities in the context of two-dimensional (2D) materials, energy compounds and strongly correlated approaches. The group collaborates with world-leading experimental groups at Harvard University, National University of Singapore, Max Planck Institute and Argonne National Lab. Computational facilities available include the UK National Supercomputer – ARCHER2 and EPCC’s CIRRUS supercomputer both located at Edinburgh. One of the goals of the project is to develop novel theoretical methods to simulate and predict strongly correlated phenomena in low-dimensional magnets towards energy-efficient device platforms.
This post is full-time (35 hours per week), however, we are open to considering part-time or flexible working patterns. We are also open to considering requests for hybrid working (on a non-contractual basis) that combines a mix of remote and regular on-campus working.
The post is fixed term with a current grant end date of November 2026.
Your skills and attributes for success:
1. Magnetism and spin-transport
2. Atomistic methods, e.g., Monte Carlo, Landau-Lifshitz-Gilbert equation, Langevin dynamics
3. KKR techniques, non-collinear DFT, TDDFT, GW, Bethe-Salpeter equation, Boltzmann transport equation
4. Continuum theories (e.g., linear spin wave theory), spin Hamiltonians
5. Spin-transfer torques, Spin Hall effect
6. Two dimensional materials
7. Coding (C, C++, Fortran, Python, etc.) and numerical implementations