Institutes of Innovation for Future Society, Nagoya University (located in Nagoya City in Japan) is seeking a specially appointed assistant professor or postdoctoral researcher in the area of data-driven materials discovery. We are looking for a researcher who can enthusiastically promote research on machine learning and materials design algorithms based on computational data, and the search for specific functional materials in collaboration with experimental researchers (HP: https://a-lab.material.nagoya-u.ac.jp/en/). The position is open immediately, but the starting date is negotiable. The position is full-time and single-year contract with the possibility for additional years of support provided adequate progress on the project. Please apply by January 31^st in 2024, but the position will be closed after it is filled.

Desired qualifications: (1) PhD in Materials Science, Chemistry, Physics, Computational science, Informatics or closely related fields. (2) Prior experience with ab-initio calculations, (3) (option) Experience with machine learning or materials informatics. (4) No problem working in Japan, and excellent oral and written communication skills in English that will facilitate interdisciplinary collaborations with multiple teams.

To apply: Please send your CV and a brief description of your research interests to Dr. Ryoji Asahi ([email protected]).