Imagic Data Analysis Workflows 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

The Methodology Group at ALBA develops the scientific methodologies, algorithms and software needed to process and analyse large and heterogeneous datasets, supporting academic and industrial users in tackling complex scientific problems. This postdoctoral position is dedicated to the scientific data analysis activities of the IMAGiC project, with a strong focus on extracting materials-science insight from multimodal X-ray and electron datasets.

The position is framed within the project (IMAGiC), ref. CPP2024-011400, funded by MICIU/AEI. The project investigates additive manufacturing of metals for GigaCasting applications; ALBA leads the in-situ high-energy X-ray diffraction analysis and the development of data analysis tools for the resulting datasets, in collaboration with the other entities in the project consortium (ROVALMA, CENIM-CSIC and EURECAT).

The selected person will report to the Head of the Methodology Group and will work in close synergy with beamline scientists, the Joint Electron Microscopy Center at ALBA (JEMCA), the Computing Division, the Industrial Office, with the project partners and with external partners as required. The role emphasis is on the development and implementation of a data analysis workflow optimal for the physical and materials-science interpretation of the data, supported by modern data-analysis, AI/ML and software methods.

Specifically, the responsibilities will include:

• Analysing and interpreting multimodal experimental data from the IMAGiC campaigns, combining in-situ high-energy X-ray diffraction with complementary X-ray absorption spectroscopy, computed tomography and 4D-STEM, to characterise phases, microstructure, chemical composition and their evolution under processing conditions.
• Developing and applying data-analysis methods and scientific software (in Python or equivalent) for the reduction, processing and quantitative analysis of these datasets, including data-driven and machine-learning approaches (e.g. decomposition, classification, regression) to detect and quantify subtle structural and chemical changes.
• Contributing to the design and validation of reusable, reproducible analysis pipelines for the project data utilizing ALBA's and its partners resources and following FAIR principles.
• Correlating the experimental results with the manufacturing and processing parameters of the study, and with theoretical or simulation-based data where relevant, to support the scientific objectives of the project.
• Disseminating results through peer-reviewed publications, conference contributions, open-source software releases, project deliverables and reports, and contributing to the scientific activity of the Methodology Group.
• Participating in data-acquisition campaigns at ALBA and, if appropriate, at other facilities, and providing scientific support to project collaborators and users.
• Collaborating with the main stakeholders involved — project partners, beamline and external scientists, and personnel from other institutions — and contributing, where relevant, to the deployment of the analysis workflows on external high-performance computing resources, like Barcelona Supercomputing Center (BSC).
• Any other task or duty of a similar nature, consistent with the job category and with the responsibilities, professional level, and functional scope of the position, that may reasonably be assigned by Management whenever necessary to ensure its proper functioning.

Requirements

The requirements for participation must be met on the date of the deadline for the submission of applications and will be accredited by means of the CV attached to it, without prejudice to the power of the selection body to require the contribution of the originals of the certifications accrediting the qualifications, training and work experience invoked in the CV.

Applications that do not present the aforementioned or required documentation during the selection procedure will not be accepted.

The successful candidate must hold a doctorate (PhD) in Physics, Materials Science, Engineering, Chemistry, or a related field. Foreign qualifications will be assessed following the classification of academic fields of Annex II of Royal Decree 967/2014, of 21 November.

Everyone who meets the requirements will be admitted for the selective process. This position is reserved for those candidates having the legal status of person with disabilities, with a degree of disability equal or greater than 33%. In case of one or more admitted applicants with this status of disability, these candidates will be evaluated at first. In the event that no candidate with the status of disability is finally selected for the position, the selection process shall continue and the rest of the applicants will be evaluated.