PhD Position (M/F): Thermal Transport in Magnetic Particulate Materials: From the Nanoscale to the Macroscale
Core
Developing multiscale theoretical models to link microscopic magnetic particle parameters to macroscopic thermal conductivity in metallic and semiconductor matrices.
Role type
Research PhD in theoretical condensed matter physics
Builds
Analytical and numerical frameworks for thermal transport in nanoparticle assemblies
Domain
Physics, Materials Science, Magnetism
Deliverable
research
Required skills
theoretical condensed matter physics, computational modeling (Python/C++), statistical physics, magnetism, Green's function modeling, spin dynamics (LLG codes)
Preferred skills
experience with thermoreflectance techniques, knowledge of RKKY interactions
Technologies
Python, C++, LLG codes
Responsibilities
Extend Green's-function thermal models to 3D nanoparticle assemblies, implement anisotropic RKKY interactions in stochastic LLG codes, parameterize multiscale models using experimental inputs, compare predicted vs measured thermal conductivity, develop thermal phase diagrams, write dissertation and publish results
Seniority
PhD Candidate, 36-month research project