Postdoctoral Researcher in Computational Materials Design and Materials Informatics at Purdue University
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.
