Postdoc: AI-Driven Atomistic Modelling of Ferroics

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

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