Offer of a post-doc position on AI-assisted atomistic modelling of ferroic materials

Aragon Nanoscience and Materials Institute (INMA) / CSIC-University of Zaragoza; España; On-site; EUR 36,000 - 48,000; Full time

Job summary

The Aragon Nanoscience and Materials Institute (INMA) – CSIC/University of Zaragoza invites applications for a postdoctoral position in condensed matter physics. The fellow will perform first-principles calculations and develop computational approaches combining DFT and machine learning to study ferroic materials.

A PhD in condensed matter physics or materials science is required. Strong background in ab initio calculations and Python-based workflows are desirable; collaboration with

Qualifications

• PhD in condensed matter physics or related field.
• Strong background in computational physics or materials science.
• Experience with ab initio calculations and machine learning is desirable.

Responsibilities

• Perform first-principles calculations.
• Develop computational approaches combining DFT and machine learning for ferroic materials.
• Collaborate with experimental groups when appropriate.

Skills

Computational physics

Materials science

Python

Machine learning

DFT calculations

Education

PhD in Condensed Matter Physics

Tools

Python workflows

Job description

Aragon Nanoscience and Materials Institute (INMA) / CSIC-University of Zaragoza

Organisation/Company Aragon Nanoscience and Materials Institute (INMA) / CSIC-University of Zaragoza Research Field Physics » Condensed matter properties Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 10 Nov 2026 - 14:00 (Europe/Madrid) Country Spain Type of Contract Temporary Job Status Full-time Hours Per Week 37.5 Offer Starting Date 10 Jan 2027 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

The offered position is a postdoctoral research appointment at the Aragon Nanoscience and Materials Institute (INMA, CSIC–University of Zaragoza), Spain, under the supervision of CSIC tenured scientist Dr. Yue-Wen Fang. The successful candidate will conduct first-principles calculations and develop advanced computational approaches combining DFT and machine learning to investigate ferroic materials, with particular emphasis on lattice dynamics and phase transitions of ferroelectrics. Opportunities for collaboration with experimental groups will also be available.

Requirements

Research Field Physics Education Level PhD or equivalent

Skills/Qualifications

PhD in relevant fields with strong background in computational physics or materials science.

Specific Requirements

A PhD in Condensed Matter Physics, Materials Science, or a closely related field is required. A strong background in ab initio calculations of electronic and phonon properties is required.
Knowledge of ferroelectricity, anharmonic lattice dynamics, and nuclear quantum effects is desirable.
Experience with machine-learning techniques, databases and Python-based workflows is desirable.

Languages ENGLISH Level Good

Languages SPANISH Level Basic

Research Field Physics » Condensed matter properties

Additional Information

The candidates must have hold a PhD infield.

Eligibility criteria

Applications are welcome from candidates of all nationalities, subject to applicable employment and immigration requirements.

Selection process

Candidates with matched qualifications will be selected for online interview.
The starting date is tentative, and the selected candidate is expected to take up the position as soon as possible.