Arun Mannodi Kanakkithodi
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4 months ago
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Postdoctoral Researcher in Computational Materials Design and Materials Informatics at Purdue University Purdue University in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Postdoctoral appointment for one year, renewable depending on funding and successful performance. Funding restrictions limit eligibility to US citizens and permanent residents. No stipend amount is stated.
Deadline
Expired
Country
United States
University
Purdue University
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About this position
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.
Funding details
Postdoctoral appointment for one year, renewable depending on funding and successful performance. Funding restrictions limit eligibility to US citizens and permanent residents. No stipend amount is stated.
What's required
PhD in Materials Science and Engineering, Physics, Chemistry, or a related discipline. Candidates should have a strong background in density functional theory computations using VASP, deep understanding of solid-state physics, crystallography, thermodynamics of materials, band structure theory, electronic and optical properties, and defect physics. Required skills include Unix, Python, LaTeX, general programming, experience with machine learning algorithms and machine learning interatomic potentials, familiarity with state-of-the-art large language models, and strong written and verbal scientific communication skills. The position is restricted to US citizens and permanent residents due to funding restrictions.
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