Postdoctoral Researcher in Semantic Knowledge Engineering & Interoperability in Materials...

Postdoctoral Researcher in Semantic Knowledge Engineering & Interoperability in Materials

Postdoctoral Researcher in Semantic Knowledge Engineering & Interoperability in Materials Science in the field of Materials Science, Physics, Computer Science, Data Science, Information Science, or comparable disciplines.

Arbeitsort

Berlin

Beginn

Temporary contract until (full‑time or part‑time work). Salary group 13 TVöD.

The Federal Institute for Materials Research and Testing (BAM) is a scientific and technical federal agency headquartered in Berlin. As a research institute under the Federal Ministry for Economy and Energy, we conduct research, testing, and provide consulting services to protect people, the environment, and property. Our work in materials science, materials engineering, and chemistry focuses on the technical safety of products and processes.

As part of the European MaterialsCommons project, BAM is collaborating with international partners to develop a federated digital research infrastructure for the materials sciences. The goal is to establish interoperable, trustworthy data spaces where scientific and industrial stakeholders can securely and sustainably share and use data, workflows, and digital tools. A key focus is on establishing semantic interoperability as well as FAIR‑compliant and AI‑ready data and knowledge structures as the foundation for a networked research and innovation landscape.

The focus of this work is on designing semantic knowledge models for digital materials research at the intersection of materials science and knowledge engineering in the context of federated data infrastructures. In collaboration with academic and industrial partners, domain‑specific requirements are identified and analyzed based on concrete use cases and translated into formal knowledge representations. These form the basis for the development and integration of semantic models into ontologies and knowledge graphs as a semantic layer of federated data ecosystems. The goal is the harmonisation and interoperable use of research data within the European research area.

We offer

• Access to high‑quality continuing education and training on digitalisation topics such as programming, research data management, AI applications, and scientific computing.
• Networking and exchange in our interdisciplinary digitalisation communities and at BAM digitalisation events to develop innovative solutions together with our experts.
• Targeted acquisition of skills in key technologies for laboratory digitalisation—modern programming paradigms, connection to the electronic laboratory notebook, and development of metadata formats and ontologies—through practical learning formats such as workshops, online courses, and collaborative training with bundled knowledge sources.
• Opportunity to actively participate in shaping BAM digitisation projects and to contribute your own ideas for digital innovations.

We are looking for talented people to join us.

We welcome applications via the online application form by . Alternatively, you can also send your application by post, quoting the Job‑ID to:

BAM promotes professional equality between women and men. We therefore particularly welcome applications from women. At the same time, we strive to reflect social diversity. Every application is therefore welcome, regardless of gender, cultural or social background, religion, ideology or identity.

In addition, BAM has set itself the goal of promoting the professional participation of people with severe disabilities. The fulfillment of the job requirements is considered on an individual basis. Severely disabled persons or persons of equal status will be given preferential consideration if they are equally qualified.

The advertised position requires a low level of physical aptitude.

• Comprehensive and interdisciplinary training and further education opportunities
• Further development of your personal strengths in conjunction with a socially balanced working environment and a comprehensive range of training opportunities.
• Diverse tasks in a dynamic and future‑oriented market at the interface between science, business, and politics.
• Equal opportunities and diversity
• Certified family‑friendly working environment
• Work in national and international networks with universities, research institutions, and industrial companies
• Access to high‑quality continuing education opportunities and training on digitalisation topics for targeted/specialised professional development.
• A responsible, interesting, and varied job in a professional and collegial environment.
• Fair pay in accordance with union agreements