PhD/Junior Researcher or PostDoc/Senior Researcher (f/m/x) – NFDI4Memory

FIZ Karlsruhe – Leibniz Institute for Information Infrastructure is one of the leading provider of scientific information and services and a member of the Leibniz Association. Our core task is the professional support of science and industry with research and patent information as well as the development of innovative information infrastructures, e.g. with a focus on research data management, knowledge graphs and digital platforms. For this purpose, we conduct in-house research, cooperate with renowned universities and research associations and maintain an international network. FIZ Karlsruhe is a GmbH (a limited liability company) with a non-profit character and one of the largest non-university institutions of its kind in Germany.

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.

We are looking for a suitable person for the open position as PhD/Junior Researcher or PostDoc/Senior Researcher in the Information Service Engineering team at FIZ Karlsruhe starting at the nearest possible date. This position is part of the NFDI4Memory project with the goal to manage the creation of a long-term and sustainable research data infrastructure for disciplines that use historical methods or that rely on data requiring historical contextualization.

Job Description:

• The offered position will be in the FIZ Information Service Engineering research team.
• Conducting innovative research on exciting FIZ ISE research topics like ontological engineering, knowledge graph construction, semantic search, natural language processing and much more.
• Participation in scientific publications, third-party funding proposals and academic activities.
• The supervision of master and bachelor theses.
• Particular tasks within the NFDI4Memory project will be the design, implementation, alignment and maintenance of knowledge graphs for research data of historical sciences.

Qualifications and Skills:

• A very good master’s degree in computer science or a comparable discipline – however, people who do not have this qualification but can impress with their research work are explicitly encouraged to apply.
• Excellent software engineering skills and the ability to develop mature software components beyond pure research prototypes.
• Interest and knowledge of history or historical sciences is a plus, but not required.
• Motivation and excitement in dealing with challenging research problems and in developing convincing solutions together.
• Excellent written and spoken English, German language skills are an advantage but are not mandatory.

Additionally for PostDoc/Senior Researcher (f/m/x) applicants:

• A very good completed PhD degree in Computer Science or a related field.
• A good publication record of research results in renowned, peer-reviewed journals and conferences.
• Successful supervision of bachelor and master students.
• Successful collaborations with other research groups, or industry, as well as open-source and community initiatives.
• Experience in applying for funding from national, European and international funding agencies.

Expertise in one or more 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

The candidate should be highly self-motivated, interested in tackling challenging research problems, have excellent organizational skills, be open minded, and have scientific leadership potential.

Why FIZ Karlsruhe: 

• A highly motivated, social and enthusiastic international research team
• A supportive environment for developing your career plans and acquiring research funding
• An opportunity to gain scientific independence
• A mentor as part of your new team guiding you through the onboarding process
• Flexible working hours and modern mobile working
• Remuneration according to the German Collective Agreement for the Public Sector (TVöD VKA) including a company pension plan with VBL
• A family friendly work environment certified by audit berufundfamilie
• Company bike leasing option

The employment relationship is initially limited to two years, although our goal is a long-term cooperation. Applications from severely handicapped persons will be considered with preference, provided they are equally qualified. Information on data protection for job advertisements can be found here.

If you have any technical questions, please contact harald.sack [at] fiz-karlsruhe.de (Herrn Prof. Dr. Harald Sack). Questions regarding the application process should be directed to bewerbung [at] fiz-karlsruhe.de.

Please send your complete application documents by e-mail, quoting the reference number
07/2023, to bewerbung [at] fiz-karlsruhe.de.

Please apply with the following documents:

1. detailed curriculum vitae
2. copies of certificates and transcripts, if applicable
3. complete list of publications
4. letters of recommendation (at least two)
5. letter of motivation and research concept