Postdoc: Multimodal Materials Data Scientist

ALBA Synchrotron; Mataró; Presencial; EUR 40.000 - 52.000; Jornada completa

Descripción de la vacante

ALBA Synchrotron's Methodology Group invites a postdoctoral researcher to advance data-analysis workflows for the IMAGiC project, focusing on extracting materials-science insight from multimodal X-ray and electron datasets. You will develop Python-based software, apply machine-learning approaches, and contribute to FAIR pipelines while collaborating with beamline scientists, JEMCA, and external partners.

The role emphasizes dissemination of results through publications and open-source releases,

Formación

• PhD in Physics, Materials Science, Engineering, Chemistry or related field.
• Experience in scientific data analysis workflows and interpreting multimodal datasets.
• Experience with Python-based data-analysis software and reproducible workflows.

Responsabilidades

• Analyse multimodal experimental data from X-ray diffraction, XAS, CT and 4D-STEM.
• Develop data-analysis methods and software in Python for data reduction and quantitative analysis.
• Create reusable, reproducible analysis pipelines following FAIR principles.
• Correlate results with manufacturing/processing parameters and simulations when relevant.
• Disseminate results via publications, conferences, and open-source releases.
• Provide scientific support during data-acquisition campaigns and collaborate with partners.

Conocimientos

Data analysis

Machine learning

Python programming

Multimodal data analysis

Educación

PhD in Physics, Materials Science, Engineering, Chemistry

Herramientas

Python

HPC

Descripción del empleo

ALBA Synchrotron's Methodology Group invites a postdoctoral researcher to advance data-analysis workflows for the IMAGiC project, focusing on extracting materials-science insight from multimodal X-ray and electron datasets. You will develop Python-based software, apply machine-learning approaches, and contribute to FAIR pipelines while collaborating with beamline scientists, JEMCA, and external partners.

The role emphasizes dissemination of results through publications and open-source releases,