PhD Research Assistant Semantic Knowledge Engineering & Interoperability in Materials Science

Conception, implementation and moderation of structured use case request surveys and analyses with scientific and industrial stakeholders (interviews, workshops, community formats) Translation of results into formal specifications and interoperability requirements (including User Stories, Competency Questions, Modeling Requirements) Analysis, structuring and generalization of domain-specific concepts, entities, processes and roles for the development of reusable semantic patterns Development, maintenance and integration of ontologies and knowledge graphs using established Upper Ontologies (e.g. BFO, PMDco, EMMO) Analysis, selection and integration of existing ontologies, taxonomys and terminologies into a consistent semantic architecture Conception and implementation of semantic mappings, alignments and transformation rules between ontologies and heterogeneous data models Definition and support of FAIR-compliant representation and serialization strategies (RDF/RDFS, OWL, JSON-LD, SHACL) Conception and co-design of semantic search, navigation and visualization concepts for research data infrastructures based on developed knowledge models Conception and implementation of Dissemination, Training and Community activities to establish semantic standards in research and industry Creation of documentation, guides, scientific publications, presentations and contributions at specialist conferences, workshops and other communication and transfer formats

Very well completed academic studies (Master / Diploma) in materials science, physics, computer science, data science, information science or comparable, supplemented by a very good doctorate Detectable expertise in Ontology Engineering and Semantic Technologies as well as practical experience with ontology development processes and toolchains (e.g. Protégé, ROBOT, ODK, Git-based workflows) Experience in the development of semantic interoperability solutions based on established top-level ontologies, in particular BFO and PMDco (customers of EMMO of advantage) Experience in the moderation and design of interdisciplinary workshops with scientific and/or industrial stakeholders for structured demand recovery Detectable scientific publication and presentation activities in the field of semantic technologies, data infrastructures or digital (materials) Science English knowledge in word and writing Impressed capacity for analytical thinking, conceptual modelling and self-responsible work in complex scientific environments Good communication and information behaviour, targeted and structured working methods, initiative / willingness to use, willingness to decide and ability as well as conceptual, strategic and innovative thinking skills

Equal opportunities and diversity Work in national and international networks with universities, research institutions and industrial companies Fair payment by collective agreement An extensive and multi-disciplinary training programme Certified family-friendly working climate Access to high-quality training offers and training on digitization topics for targeted / professional development Further development of your personal strengths in connection with a socially balanced work environment as well as an extensive range of training Attractive location A responsible, interesting and varied activity in a competent and collegial environment Versatile tasks in a dynamic and future-oriented market at the interface between science, business and politics Flexible working time We offer: Access to high-quality training and training on digitalization topics such as programming, research data management, AI applications and machine computing in science Networking and exchange in our interdisciplinary digitization communities and BAM digitalization events to develop innovative solutions together with our experts Targeted competence acquisition in key technologies of laboratory digitization – modern programming paradigms, connection to the electronic laboratory book and development of metadata formats and ontologies – through practical learning formats such as workshops, online courses and collaborative trainings with bundled knowledge sources Possibility to actively co-design BAM digitalization projects and to introduce own ideas for digital innovations