*We are recruiting Ph.D. students and master students, who are interested in high-performance structural alloys (e.g. high-entropy alloys and metallic glasses), mechanical behaivor of materials and supercooled liquids etc. It includes the utlization of multiscale modelling, machine learning and experimental techniques. Students with background in materials science, physics and other related fields are all welcome to join us, and have fun!
*We also have Associate Professor/Assistant Professor openings. Candidates with expetise in
(1) First-principle and atomisitic simulation; Machine learning; Calculated thermodynamics;
(2) Experiments on structural alloys;
are welcome to contact Prof. Jun Ding, at dingsn.AT.xjtu.edu.cn or email@example.com, for further information.