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Optoelectronic Materials Data Scientist

Join our team!

FAIRmat is seeking an expert for optoelectronic materials data (TV-L E13). Join the dynamic FAIRmat team at its headquarters at the Humboldt-Universität zu Berlin and work towards shaping the future of research data management and materials science! All genders are encouraged to apply.

Job Description

  • Within the FAIRmat consortium, your role will involve the advancement of the data infrastructure for optoelectronic materials, while coordinating and collaborating with both internal and external partners.
  • You will contribute to the development of NOMAD, a web-based application for managing, visualizing, and sharing scientific data; your focus will be on optoelectronic materials and, in particular, on solar cells;
  • You will help establishing standards by building software tools, data models, and ontologies for solar cells; the data models will be harmonized with data from materials synthesis, experimental characterization & theory;
  • You will help users to implement and apply these tools for their research data management;
  • You will interact with and visit our partner institutes and labs, and will present our project at conferences and workshops. 

Requirements

  • Academic degree at the Master’s level or higher in physics, chemistry, materials science, computer science, or another relevant field;
  • Excellent understanding of scientific and experimental workflows in materials science with a strong focus on optoelectronic materials: from sample preparation, to characterization and data analysis;
  • Very good programming skills in Python;
  • Experience in software development with Linux, Docker and Git;
  • Experience with data analysis and visualization, using APIs and databases;
  • Experience in developing ontologies is a plus;
  • Ability to interact and communicate with experts from different scientific fields;
  • Excellent verbal and written communication skills in English. Proficiency in German is a plus. Strong teamwork skills and enthusiasm for bringing together people with diverse backgrounds and interests.

What we offer

A stimulating, multidisciplinary working environment, a pay scale classification (TV-L), ample development opportunities, and flexible working hours. The majority of the FAIRmat team is based at the Humboldt-Universität zu Berlin. The project is funded until September 30, 2026 with prospect towards prolongation. 

Who we are

FAIRmat stands for FAIR Data Infrastructure for Condensed-Matter Physics and the Chemical Physics of Solids. FAIRmat is a consortium of the National Research Data Infrastructure NFDI. We are building a FAIR data infrastructure for materials science and related research areas. FAIRmat develops NOMAD, the data infrastructure for materials science research data, embracing data from materials synthesis, experimental characterization, computational materials science, and data-.processing workflows. This new digital infrastructure, based on leading-edge IT technologies, supports Open Data and Open Science towards data-centric materials science.

... Interested in joining FAIRmat?

Excited by the prospect of joining us? To apply, please submit a single PDF file containing your motivation letter, CV, certificates, and references by e-mail to Victoria Coors and Pepe Márquez (fairmat@physik.hu-berlin.de).

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