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.
Information Service Engineering (ISE) at FIZ Karlsruhe 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.
The research assistants will support the scientific staff of the Information Service Engineering (ISE) research group working on large open Knowledge Graphs in tasks like data analysis, knowledge modelling, data cleaning and knowledge mining.
Qualifications and Skills:
We are looking for highly motivated students (Bachelor or Master level) in computer science, industrial engineering, information sciences or similar, preferably at the Karlsruhe Institute of Technology ( KIT)
Knowledge and experience in the development of software applications, preferably in Python and/or Java
Basic knowledge of Natural Language Processing (NLP), Linked Data Engineering, Information Extraction and/or Data Science
Basic knowledge in the use of knowledge graphs, such as DBpedia or Wikidata
Ability to quickly learn new topics and tasks
Sufficient language skills in English to work in an international team
The payment is based on the rates of the state of Baden-Württemberg for academic assistants. The employment is temporary.
Please send your complete application documents by regular mail or by e-mail, quoting the reference number46/2022, to bewerbung [at] fiz-karlsruhe.de.