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5 Open positions for PostDocs & PhDs in NLP, Knowledge Graphs, Deep Learning, Social Media Analysis, Visual Analysis

 5 Open Positions PostDoc and PhD at FIZ Karlsruhe [1] - Leibniz Institute for Information Infrastructure in the Inforamtion Service Engineering research group (FIZ ISE) 

in Knowledge Graphs, Deep Learning, NLP, Social Media Analysis, Visual Analysis

 

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Position 1: PostDoc in Knowledge Graphs, Ontological Engineering, Knowledge Discovery

https://www.fiz-karlsruhe.de/en/stellenanzeigen/postdoc-senior-researcher-mwx

 

reference number 18/2020 

 

Description of the Position:

This position is part of the NFDI4Culture project (https://nfdi4culture.de/) on research data infrastructures for material and immaterial cultural heritage. NFDI4Culture is part of the German Research Data Infrastructure initiative. Particular tasks within the project will be the design, implementation, population and management of the NFDI4Culture knowledge graph. Moreover, the position is connected with a  co-lead of the NFDI4Culture Technical Coordination Office for overall technical management and support of the technical developments within the consortium.

 

The tasks for the position include:

• Innovative research on FIZ ISE research topics including scientific publications, third party funding proposals, active involvement in professional academic activities

• Teaching (at Karlsruhe Institute of Technology, KIT) is not mandatory, but welcome on a volunteer basis

• Supervision of master & bachelor theses, Co-supervision of FIZ ISE PhD students

• Our goal is to perform internationally leading research which can be applied in high impact use cases

 

Qualifications and Skills:

• An completed PhD and 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

• Successful supervision of bachelor and master students

• 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

• Successful competition for funding by national and international funding bodies

• Excellent English skills, written and spoken, German language skills are beneficial

 

Expertise in the following fields of research:

•             Knowledge Graphs and Semantic Web Technologies

•             Ontologies and Ontological Engineering

•             Machine Learning and Deep Learning

•             Knowledge Discovery and Knowledge Mining

 

Duration: The position is limited to two years with optional up to 5 years max.0

The position is available from October 2020.

 

Deadline for application: Oct 20, 2020

Website: https://www.fiz-karlsruhe.de/en/stellenanzeigen/postdoc-senior-researcher-mwx

 

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Position 2: PostDoc in NLP, Knowledge Graphs, Deep Learning

https://www.fiz-karlsruhe.de/en/stellenanzeigen/postdoc-senior-researcher-mwx-0

 

reference number: 24/2020

 

Description of the position:

For this position the candidate will take over the project task lead in the project “Nutzerorientierte Neustrukturierung des Portals Deutsche Digitale Bibliothek (DDB)” (User-oriented restructuring of The German Digital Library, DDB). Particular tasks within the research project will be the design, implementation, population and management of the DDB knowledge graph, which involves knowledge discovery and mining on structured and unstructured data on large scale . 

For more information on the German Digital Library project, please cf

https://www.fiz-karlsruhe.de/en/produkte-und-dienstleistungen/deutsche-digitale-bibliothek-ddb

 

Qualifications and Skills:

• An completed PhD and 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

• Successful supervision of bachelor and master students

• 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

• Successful competition for funding by national and international funding bodies

• Excellent English skills, written and spoken, German language skills are beneficial

 

Expertise in the following fields of research:

- Knowledge Graphs and Semantic Web Technologies

- Ontologies and Ontological Engineering

- Machine Learning and Deep Learning

- Natural Language Processing

 

Duration: The position is limited to 15 months with an optional extension up to 4 years max.

The position is available from October 2020.

 

Deadline for the application: Oct 31, 2020.

Website: https://www.fiz-karlsruhe.de/en/stellenanzeigen/postdoc-senior-researcher-mwx-0

 

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Position 3: PhD position in NLP, Knowledge Graphs, DeepLearning 

https://www.fiz-karlsruhe.de/en/stellenanzeigen/doktorand-junior-researcher-mwx-1

 

reference number: 23/2020

 

Description of the position:

For this position the candidate will work in the project “Nutzerorientierte Neustrukturierung des Portals Deutsche Digitale Bibliothek (DDB)” (User-oriented restructuring of The German Digital Library, DDB). Particular tasks within the research project will be the design, implementation, population and management of the DDB knowledge graph, which involves knowledge discovery and mining on structured and unstructured data on large scale . 

For more information on the German Digital Library project, please cf

https://www.fiz-karlsruhe.de/en/produkte-und-dienstleistungen/deutsche-digitale-bibliothek-ddb

 

Qualifikations and Skills:

- An outstanding master‘s degree (or an equivalent university degree) in computer science or another related discipline 

- Eagerness to participate in team work, outstanding analytical competence, strong interest in interdisciplinary research

- Experience in software engineering, as well as superior organization and communication skills.

- Fluency in spoken and written English is required. Language skills in German are highly beneficial. 

 

Expertise in the following fields of research:

- Knowledge Graphs and Semantic Web Technologies

- Ontologies and Ontological Engineering

- Machine Learning and Natural Language Processing

 

Duration: The position is limited to 15 months with an optional extension up to 4 years max.

The position is available from October 2020.

 

Deadline for the application: Oct 31, 2020.

Website: https://www.fiz-karlsruhe.de/en/stellenanzeigen/doktorand-junior-researcher-mwx-1

 

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Position 4: PhD position in Visual Analysis, NLP, Knowledge Graphs

https://www.fiz-karlsruhe.de/en/stellenanzeigen/doktorand-junior-researcher-mwx-0

 

reference number: 22/2020 

 

Job Description:

For this position the candidate will work in the project “Wiedergutmachung” funded by the German Federal Ministry of Finance (BMF). The research tasks in the project involve visual classification of scanned documents, NLP analysis in German language esp. Entity recognition and Entity linking, ontology design and knowledge graph population.

For more information on the "Wiedergutmachung" project please cf. https://www.fiz-karlsruhe.de/en/forschung/wiedergutmachung.

 

Qualifikations and Skills:

- An outstanding master‘s degree (or an equivalent university degree) in computer science or another related discipline 

- Eagerness to participate in team work, outstanding analytical competence, strong interest in interdisciplinary research

- Experience in software engineering, as well as superior organization and communication skills.

- Fluency in spoken and written English is required. Language skills in German are highly beneficial. 

 

Expertise in the following fields of research:

- Visual Analysis

- Natural Language Processing

- Knowledge Graphs

- Machine Learning and Deep Learning

 

Duration: The position is limited to 2 years with an optional extension up to 4 years max.

The position is available from January 2021.

 

Deadline for the application: Nov 30, 2020.

Website: https://www.fiz-karlsruhe.de/en/stellenanzeigen/doktorand-junior-researcher-mwx-0

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Position 5: PhD position in Social Media Analysis, NLP, Knowledge Graphs 

https://www.fiz-karlsruhe.de/en/stellenanzeigen/doktorand-junior-researcher-mwx

 

reference number: 21/2020

 

Job Description:

or this position the candidate will work in the project “ITFLOWS” funded by the Horizon 2020 Programme of the European Commission. The research tasks incolved in the project include the semantic analysis of twitter data streams, NLP on tweets, hate speech detection, etc. For more information on the "ITFLOWS" project please cf. https://www.fiz-karlsruhe.de/en/forschung/itflows and http://www.itflows.eu/

 

Expertise in the following fields of research:

- Natural Language Processing

- Machine Learning and Deep Learning

 

Duration: The position is limited to 2 years with an optional extension up to 4 years max.

The position is available from November 2021.

 

Deadline for the application: Oct 20, 2020.

Website: https://www.fiz-karlsruhe.de/en/stellenanzeigen/doktorand-junior-researcher-mwx

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[1] FIZ Karlsruhe – Leibniz Institute for Information Infrastructure is an internationally leading provider of scientific information and services. We provide patent and research information for science and industry. To this end, we index very large amounts of data from many different sources. In addition we develop and operate innovative information services and e-research solutions for a precise research and intelligent analysis of these data. For this purpose we conduct applied researches. Our customers include international market leaders from the pharmaceutical and chemical industries as well as large patent offices and research institutions.

 

Information Service Engineering (ISE) investigates models and methods for efficient semantic indexing, aggregation, linking, and retrieval of comprehensive heterogeneous and distributed data sources. To this end, both statistic and linguistic analysis methods (NLP) as well as machine learning in combination with symbolic logic and interference mechanisms 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 semantic annotation, semantic search, exploratory search, as well as recommender systems and question answering.

 

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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