National Institute for Materials Science
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Postdoctoral Position in AI-Assisted Atomistic Modelling of Ferroic Materials Aragon Nanoscience and Materials Institute in Japan
Degree Level
Postdoc
Field of study
Computer Science
Funding
Available
Deadline
Nov 10, 2026
Country
Japan
University
National Institute for Materials Science
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About this position
Postdoctoral research position in AI-assisted atomistic modelling of ferroic materials at the Aragon Nanoscience and Materials Institute (INMA), part of CSIC–University of Zaragoza, in Zaragoza, Spain.
The successful candidate will work under the supervision of Dr. Yue-Wen Fang on first-principles calculations and advanced computational methods combining density functional theory (DFT) and machine learning. The project focuses on the study of ferroic materials, with particular emphasis on ferroelectrics, lattice dynamics, and phase transitions. The postdoctoral researcher may also collaborate with experimental groups.
This is a full-time temporary postdoc position (37.5 hours/week). The planned starting date is 10 January 2027, although the post states that the date is tentative and the selected candidate is expected to join as soon as possible. The application deadline is 10 November 2026 at 14:00 (Europe/Madrid).
Applicants should hold a PhD or equivalent in Condensed Matter Physics, Materials Science, or a closely related field. A strong background in ab initio calculations of electronic and phonon properties is required. Desirable experience includes ferroelectricity, anharmonic lattice dynamics, nuclear quantum effects, machine-learning techniques, databases, and Python-based workflows. English proficiency should be good; basic Spanish is also listed.
Applications are open to candidates of all nationalities, subject to applicable employment and immigration requirements. Shortlisted candidates will be invited to an online interview. To apply, email Dr. Yue-Wen Fang with a CV including a full publication list, a brief cover letter, and the contact details of two referees. The posting also asks applicants to highlight up to three representative publications and explain their contribution briefly.
Institutional context: INMA is a nanoscience and materials research institute associated with CSIC and the University of Zaragoza. The opportunity is especially relevant for researchers interested in computational condensed matter physics, ferroic phenomena, materials modelling, and data-driven approaches in atomistic simulation.
Funding details
Available
What's required
A PhD or equivalent is required in Condensed Matter Physics, Materials Science, or a closely related field. Candidates should have a strong background in computational physics or materials science, with demonstrated experience in ab initio calculations of electronic and phonon properties. Knowledge of ferroelectricity, anharmonic lattice dynamics, and nuclear quantum effects is desirable, as is experience with machine-learning techniques, databases, and Python-based workflows. English proficiency at a good level and basic Spanish are listed.
How to apply
Email your application to Dr. Yue-Wen Fang at [email protected]. Submit a CV with full publication list, a cover letter of up to one page, and contact details for two referees. Highlight up to three representative publications and briefly explain your contribution to each.
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