3 Open Positions PostDoc and PhD at FIZ Karlsruhe [1] - Leibniz Institute for Information Infrastructure in the Information Service Engineering research group (FIZ ISE) [2] in Knowledge Graphs, Ontologies, and Deep Learning --------------------------------------------------------------------- Position 1: PostDoc on Knowledge Graphs, Deep Learning, Ontological Engineering https://www.fiz-karlsruhe.de/en/stellenanzeigen/postdoc-senior-researcher-wm... reference number 41/2022
Description of the Position: This position is part of the Information Service Engineering (ISE) Research group at FIZ Karlsruhe (FIZ ISE). FIZ ISE investigates models and methods for efficient semantic indexing, aggregation, linking and retrieval of comprehensive heterogeneous and distributed data sources. To this end, both statistical and linguistic analysis methods (NLP) as well as machine learning in combination with symbolic logic are applied. ISE research relies and extends on knowledge representation standards developed for the Semantic Web. ISE research application areas include but are not limited to solutions for knowledge extraction, semantic annotation, semantic and exploratory search, as well as recommender systems and question answering. Besides basic methodological research, domains of applied ISE research are, amongst others, cultural heritage, digital humanities, materials science, and research data management.
Job Description: - We are looking for an ambitious person who aims for a successful scientific career in the context of knowledge graph related technologies contributing to the strategic research and technology goals of FIZ Karlsruhe - The offered position will be in the FIZ ISE research team - We are expecting innovative research on FIZ ISE research topics including active involvement in scientific publications, third party funding proposals, as well as in professional academic activities - Furthermore, supervision of master and bachelor theses as well as co-supervision of FIZ ISE PhD students is expected - We offer a productive and continuously evolving research environment and will actively support you in your further scientific qualification - Our goal is to perform internationally leading research which can be applied in high impact use cases
Qualifications and Skills: - An excellent completed PhD degree in Computer Science or a related field - Publications of research results in renowned, peer-reviewed journals and conferences - Proven software engineering skills and the ability to develop mature software components beyond pure research prototypes - Successful supervision of bachelor and master theses - Successful collaborations with other research groups, industry, as well as open-source and community-initiatives, for example in the context - of publicly funded collaborative research projects - Experience in applying for funding from national, European and international funding agencies - Excellent English skills, written and spoken, German language skills are highly beneficial
Expertise in several of the following fields of research: - Knowledge Graphs and Semantic Web Technologies - Machine Learning and Deep Learning - Ontology Design and Ontological Engineering - Natural Language Processing
Duration: The position is limited to two years with optional extension by two more years. The position is available from December 2022. We will consider applications until the position is filled.
Deadline for application: Nov 15, 2022 Website: https://www.fiz-karlsruhe.de/en/stellenanzeigen/postdoc-senior-researcher-wm... --------------------------------------------------------------------- Position 2 & 3: PhD or PostDoc Knowledge Graphs & Ontological Engineering https://www.fiz-karlsruhe.de/en/stellenanzeigen/postdoc-senior-researcher-od... reference number: 43/2022
Description of the position: This position is part of the Platform MaterialDigital project (https://www.materialdigital.de/) on the sustainable digitalization of materials within the FIZ ISE research group [2]. Particular tasks within the project will be the design, implementation, alignment, and maintenance of ontologies for materials science engineering. - We are looking for an ambitious person who aims for a successful scientific career in the context of knowledge graph related technologies contributing to the strategic research and technology goals of FIZ Karlsruhe - The offered position will be in the FIZ ISE research team - We are expecting innovative research on FIZ ISE research topics including active involvement in scientific publications, third party funding proposals, as well as in professional academic activities - Furthermore, supervision of master and bachelor theses (as well as for PostDocs co-supervision of FIZ ISE PhD students) is expected - We offer a productive and continuously evolving research environment and will actively support you in your further scientific qualification - Our goal is to perform internationally leading research which can be applied in high impact use cases
Qualifications and Skills: - An excellent completed master degree in Computer Science or a related field - Publications of research results in renowned, peer-reviewed journals and conferences - Proven software engineering skills and the ability to develop mature software components beyond pure research prototypes - Knowledge of materials science is highly beneficial, but not mandatory
Additionally for PostDocs: - An excellent completed PhD degree in Computer Science or a related field - Successful supervision of bachelor and master theses - Successful collaborations with other research groups, industry, as well as open-source and community initiatives, for example in the context of publicly funded collaborative research projects - Experience in applying for funding from national, European and international funding agencies - Excellent English skills, written and spoken, German language skills are highly beneficial
Expertise in one (or more) of the following fields of research: - Knowledge Graphs and Semantic Web Technologies - Ontology Design and Ontological Engineering - Natural Language Processing - Machine Learning and Deep Learning
Duration: The position is limited to two years with optional extension by two more years. The position is available by now. We will consider applications until the position is filled.
Deadline for the application: Nov 15, 2022. Website: https://www.fiz-karlsruhe.de/en/stellenanzeigen/postdoc-senior-researcher-od... ---------------------------------------------------------------------
[1] FIZ Karlsruhe - Leibniz Institute for Information Infrastructure is one of the leading providers of scientific information and services and a member of the Leibniz Association. Our core tasks are the professional provision of research and patent information to science and industry as well as the development of innovative information infrastructures, e.g., with a focus on research data management, knowledge graphs and digital platforms. To this end, we conduct our own research, cooperate with renowned universities and research societies, and are internationally and interdisciplinarily networked. FIZ Karlsruhe is a limited liability company with a non-profit character and one of the largest non-university institutions of its kind.
[2] Information Service Engineering (ISE) Research group at FIZ Karlsruhe (FIZ ISE) investigates models and methods for efficient semantic indexing, aggregation, linking and retrieval of comprehensive heterogeneous and distributed data sources. To this end, both statistical and linguistic analysis methods (NLP) as well as machine learning in combination with symbolic logic are applied. ISE research relies and extends on knowledge representation standards developed for the Semantic Web. ISE research application areas include but are not limited to solutions for knowledge extraction, semantic annotation, semantic and exploratory search, as well as recommender systems and question answering. Besides basic methodological research, domains of applied ISE research are, amongst others, cultural heritage, digital humanities, materials science, and research data management.
FIZ Karlsruhe is committed to promoting the careers of women and therefore looks forward to receiving applications by female candidates. FIZ Karlsruhe also positively welcomes applications from suitably qualified disabled people. Information on data protection for applicants can be found at www.fiz-karlsruhe.de/en/stellenanzeigen.
For questions, please contact Prof. Dr. Harald Sack (Harald.Sack(at)fiz-karlsruhe.de).