Job
- Level
- Erfahren
- Job Feld
- Data, Application
- Anstellung
- Vollzeit
- Vertragsart
- Befristetes Dienstverhältnis
- Ort
- Hannover
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In diesem Job entwickelst du semantische Dateninfrastrukturen und ontologiebasierte Anwendungen für Chemie und Ingenieurwesen, wobei du KI-unterstützte Methoden testest und domänenspezifische Ontologien pflegst.
Job Technologien
Deine Rolle im Team
- You will work in an interdisciplinary team on the development and operation of semantic research data infrastructures for chemistry, materials science, and engineering.
- In this role, you will serve as a bridge between scientific disciplines, ontology development, and software development.
- You will work independently across projects, developing cross-disciplinary semantic models, applications, and services, while also testing AI-supported approaches for efficient ontology development and curation.
- Collaboration with partners in chemistry, engineering, computer science, and libraries.
- Evaluation and implementation of LLM-based tools for AI-assisted ontology development and curation using a human-in-the-loop approach.
- Development and maintenance of domain-specific ontologies and controlled vocabularies for materials science, manufacturing engineering, process engineering, and chemistry.
- Application, mapping, and alignment of established standards: Metadata4Ing, MSEO, BFO, DataCite, DCAT-AP.
- Design of metadata schemas and generic protocol structures for experiments and processing workflows.
- Development and maintenance of knowledge graphs (RDF, SPARQL).
- Coordinating the conceptual (further) development of the RDM system architecture from a "big-picture" perspective.
- Collaborative requirements engineering within the team: translating domain requirements into technical specifications for applications for the semantic annotation of research data, protocols, and other data types.
- Quality assurance of system implementations with regard to semantic correctness, FAIR compliance, and interoperability.
- Helping to design knowledge graph interfaces and SPARQL query interfaces.
Unsere Erwartungen an dich
Ausbildung
- A completed academic degree (Master's, university diploma, or equivalent) in computer science, chemistry, materials science, engineering, information science, computational linguistics, linguistics, digital humanities, data science, or a related field, provided there is a demonstrable thematic connection to knowledge modelling, semantic technologies, or information structuring.
- High degree of self-organization and ability to work independently.
Qualifikationen
- Familiarity with the FAIR data principles and modern standards of research data management.
- Knowledge of common metadata schemas such as DataCite, Schema.org, and DCAT.
- Excellent understanding of software development processes and the ability to act as a conceptual bridge between domain experts and developers.
- Knowledge of version control (Git) and CI/CD workflows.
- Excellent written and spoken English skills.
- Knowledge of LinkML and SSSOM.
- Knowledge of German is a plus, but not required.
Erfahrung
- Experience in modelling metadata schemas and/or controlled vocabularies.
- Experience with ontologies in chemistry, materials science, or engineering.
- Experience with ontology development tools such as ROBOT, ODK, or Protégé.
- Experience with AI-supported methods of ontology development and knowledge modeling, particularly the use of large language models (LLMs) as assistive tools in ontology engineering (e.g. OntoGPT, CurateGPT, LLM-supported ROBOT workflows).
- Experience with data repositories, electronic lab notebooks, Semantic MediaWiki, or terminology services.
Unser Angebot
- The position is initially limited to two years with envisioned extension.
- The regular weekly working time is 39.8 hours (full-time).
- The position is only suitable for part-time work to a limited extent.
- The remuneration is based on pay scale group 13 of the collective agreement for the public service of the German states (TV-L).
- A special annual payment at the end of the year and 30 days of vacation per year with a five-day working week as well as additional days off on Christmas Eve (December 24th) and New Year's Eve (December 31st).
- Flexible working time models (flexitime) as well as offers to reconcile work and family life, such as mobile and remote work options.
- A modern workplace in a central location of Hannover with a collegial, attractive and versatile working environment.
- An employer with a wide range of internal and external further education and training measures, workplace health promotion and a supplementary pension scheme for the public sector (VBL).
- Discount for employees in the canteens of the Studentenwerk Hannover as well as the possibility to use the various offers of the University Sports Hannover.
- Independent and future-oriented activities that offer variety and room for personal development.
- A varied, independent and future-oriented field of activity.
- A portfolio of technology components to build on, including ORKG, OpenResearch.org, TIB AV-Portal, DBpedia.org among other.
- Funding of the necessary technical equipment as well as conference and research visits.
Benefits
Work-Life-Integration
Essen & Trinken
Mehr Netto
Gesundheit, Fitness & Fun
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Technische Informationsbibliothek (TIB)
Die TIB ist die Deutsche Zentrale Fachbibliothek für Technik sowie Architektur, Chemie, Informatik, Mathematik und Physik Wissenschaft, Forschung und Wirtschaft. Sie hat die Aufgabe, das verzeichnete Wissen zu erhalten und aktuelle Informationen unabhängig von Ort und Zeit heute und in Zukunft bereitzustellen.
Description
- Gründungsjahr
- 1959
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Wissenschaft, Forschung
Semantic Data Architect
- Ort
- Hannover
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
