Postdoctoral Researcher in Computational Materials Design and Materials Informatics at Purdue University Purdue University in United States

Purdue University’s School of Materials Engineering is advertising a postdoctoral researcher opening in computational materials design and materials informatics in the group of Arun Mannodi Kanakkithodi (Assistant Professor).

The research direction includes ab initio simulations, density functional theory, defect simulations, machine learning interatomic potentials, and other modern ML approaches for materials discovery and prediction. The flyer highlights topics such as first-principles simulations of electronic, optical, and defect properties; designing defect-tolerant and dopable wide-band-gap semiconductors; developing ML interatomic potentials for defects in solids; and predicting synthesizability and synthesis routes of materials.

This opportunity is based at Purdue University in West Lafayette, Indiana, USA. The appointment is for one year and may be renewed depending on funding and performance. Due to funding restrictions, the position is only open to US citizens and permanent residents.

Applicants should have a PhD in Materials Science and Engineering, Physics, Chemistry, or a related field, along with strong expertise in solid-state physics, crystallography, thermodynamics of materials, band structure theory, electronic and optical properties, defect physics, VASP-based DFT, Unix/Python/LaTeX, programming, machine learning algorithms, and scientific communication.

To apply, send a single PDF to [email protected] with a 1-page cover letter, CV (max 4 pages), and the names, emails, and phone numbers of at least three references. Applications are reviewed immediately and will continue until the position is filled.