Job description

You will be responsible for the operation and further development of the IT infrastructure for AI-supported semantic data processing of materials – and will support onboarding as well as community support activities. Your responsibilities include:

• Research and development of AI-supported semantic data processing solutions for materials data
• Further development and operation of the project-wide IT infrastructure for materials data, semantic processing, and AI workflows
• Design, research, and implementation of ontology-based extensions of the MaterialDigital DataPortal (CKAN as a reference and entry-level solution for data and metadata management)
• Analysis and evaluation of alternative platform and data space concepts
• Integration of the PMD data space into federated data spaces, in particular Gaia-X and Catena-X; integration, consolidation, and provision of tools and services from other working groups
• Establishment and operation of a shared service and tool landscape for the community
• Presentation of results at national and international conferences, as well as conducting training sessions and workshops (PMD activities)
• Collaboration with researchers and external project partners
• Development and implementation of operational, update, and sustainability concepts

You have:

• A successfully completed university degree (Diplom (University) or Master’s degree) in computer science, physics, engineering, or related fields, ideally with a completed doctorate
• Very good knowledge in operating data-intensive IT infrastructures
• Experience with data and metadata platforms (e.g., CKAN)
• Ability to critically analyze, further develop, or replace existing solutions
• Very good knowledge of Linux, container technologies (e.g., Docker), and service-oriented architectures
• Experience with APIs as well as authentication and authorization concepts
• Ability to document complex systems in a clear and understandable manner
• Independent, structured working style and strong communication skills
• Ideally, you also have experience in the following areas: Gaia-X, Catena-X, or comparable data space ecosystems
• Metadata standards, federation, and interoperability
• Open-source and community-driven software development
• Semantic data infrastructures or knowledge graphs
• Sustainable research software, reproducibility, and FAIR-related concepts
• Training, onboarding, or technical coordination