AI辅助铁性材料原子尺度建模博士后职位

The offered position is a postdoctoral research appointment at the Aragon Nanoscience and Materials Institute (INMA, CSIC–University of Zaragoza), Spain, under the supervision of

CSIC tenured scientist Dr. Yue-Wen Fang.

The successful candidate will conduct first-principles calculations and develop advanced computational approaches combining DFT and machine learning to investigate ferroic materials, with particular emphasis on lattice dynamics and phase transitions of ferroelectrics.

Opportunities for collaboration with experimental groups will also be available.

Postdoctoral candidates with a background in first-principles calculations, DFT, and machine learning applied to materials modeling.

Experience with ferroic materials, lattice dynamics, and phase transitions of ferroelectrics is expected.