Open PostDoc Position on Knowledge Graphs, Deep Learning, NLP & Ontological Engineering

PostDoc on Knowledge Graphs, Deep Learning, NLP & Ontological Engineering

Description of the Position:
This position is part of the Information Service Engineering (ISE) Research group [2] at FIZ Karlsruhe (FIZ ISE)[1]. 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
- Natural Language Processing
- Machine Learning and Deep Learning
- Ontology Design and Ontological Engineering

Duration: The position is limited to two years with optional extension by two more years.
The position is available from February 2023. We will consider applications until the position is filled.

Deadline for application: Feb 28, 2023
Website: https://www.fiz-karlsruhe.de/en/stellenanzeigen/postdoc-senior-researcher-wmx


[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 ISE is headed by Prof. Dr. Harald Sack, who holds the chair of Information Service Engineering at Karlsruhe Institute of Technology (KIT).

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).



Prof. Dr. Harald Sack
Information Service Engineering

Karlsruher Institute of Technology (KIT)
Institute of Applied Informatics and
Formal Description Methods (AIFB)

Kaiserstrasse 89
Building 05.20, Room 3A-26.2
76133 Karlsruhe

phone: +49 721 608-46587
email: harald.sack@kit.edu
web: www.aifb.kit.edu