Project Assistant Professor Position in Computational Materials Science for GaN Power Devices

We invite applications for a Project Assistant Professor position in computational materials science for GaN (gallium nitride) power devices under the MEXT-supported COPELNIX research project.
The successful candidate will conduct theoretical and computational investigations of atomic-scale and electronic mechanisms governing the performance and reliability of GaN power devices.

Work content and job description

Research topics include:
•Atomic structures and electronic properties of impurities, point defects, and defect complexes in GaN
•Defect formation and thermal stability associated with ion implantation
•Electronic properties of GaN interfaces and charge-trapping mechanisms
•Theoretical investigations of materials properties relevant to high-performance and highly reliable GaN power devices
•Collaboration with experimental researchers to connect atomistic simulations with device development
The specific research topics will be determined in consideration of the successful candidate's background and interests.

Work experience
1. Have a research background in physics, materials science, computational science, applied physics, or a related field.
2. Be motivated to conduct theoretical and computational research in collaboration with experimental researchers.
Prior experience in density functional theory (DFT) or first-principles calculations is not required.
Applicants with backgrounds in condensed matter physics, computational physics, theoretical physics, particle physics, or related fields are particularly welcome.
The successful candidate will have opportunities to acquire the necessary skills in first-principles calculations after joining the research group.

Application documents (specified forms)
Project Assistant Professor Position in Computational Materials Science.pdf

Selection

Candidates who pass the initial document screening will be invited for an interview.

Notification of result
We will notify candidates of the selection results by email within 10 days after the interview.