Offer Of A Post-Doc Position On Ai-Assisted Atomistic Modelling Of Ferroic Materials
Hace 2 días
Remote, kingdom of spain
Aragon Nanoscience And Materials Institute
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Aragon Nanoscience and Materials Institute (INMA) / CSIC-University of ZaragozaOrganisation/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? NoOffer DescriptionThe 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.
RequirementsResearch Field Physics Education Level Ph D or equivalentSkills/QualificationsPh D in relevant fields with strong background in computational physics or materials science.
Specific RequirementsA Ph D 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 GoodLanguages SPANISH Level BasicResearch Field Physics » Condensed matter propertiesAdditional InformationThe candidates must have hold a Ph D infield.
Eligibility criteriaApplications are welcome from candidates of all nationalities, subject to applicable employment and immigration requirements.
Selection processCandidates 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.
- 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? NoOffer DescriptionThe 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.
RequirementsResearch Field Physics Education Level Ph D or equivalentSkills/QualificationsPh D in relevant fields with strong background in computational physics or materials science.
Specific RequirementsA Ph D 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 GoodLanguages SPANISH Level BasicResearch Field Physics » Condensed matter propertiesAdditional InformationThe candidates must have hold a Ph D infield.
Eligibility criteriaApplications are welcome from candidates of all nationalities, subject to applicable employment and immigration requirements.
Selection processCandidates 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.