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Stellenangebote

PostDoc position in NLP, Knowledge Graphs & DeepLearning

Organisation
FIZ Karlsruhe / KIT Karlsruhe
Ort
Karlsruhe
Profil
FIZ Karlsruhe – Leibniz-Institut für Informationsinfrastruktur ist eine der führenden Adressen für wissenschaftliche Information und Dienstleistung und Mitglied der Leibniz-Gemeinschaft. Die Kernaufgabe von FIZ Karlsruhe ist die professionelle Versorgung von Wissenschaft und Wirtschaft mit Forschungs- und Patentinformation sowie die Entwicklung von innovativen Dienstleistungen auf dem Gebiet der wissenschaftlichen Informationsinfrastruktur. FIZ Karlsruhe führt eigene Forschungsvorhaben durch und kooperiert mit renommierten Universitäten und Forschungsgesellschaften. FIZ Karlsruhe ist eine GmbH mit gemeinnützigem Charakter und eine der größten außerhochschulischen Informationsinfrastruktureinrichtungen in Deutschland.
Website der Organisation
https://www.fiz-karlsruhe.de/
Besetzung ab
Oktober 2020
Bewerbungsfrist
30.11.2020
Stellenprofil
https://www.fiz-karlsruhe.de/de/stellenanzeigen/postdoc-senior-researcher-mwx-0

We are recruiting for the position of a PostDoc / Senior Researcher starting in October 2020.

Job Description:
- The offered position will be in the FIZ ISE research team
- Innovative research on 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
- We offer a productive and continuously evolving research environment, in which you can discuss ideas with ISE team members working on related topics as well as the opportunity to set up your own research team
- Our goal is to perform internationally leading research which can be applied in high impact use cases

In particular for this position the candidate take over a project task lead in the project “Nutzerorientierte Neustrukturierung des Portals Deutsche Digitale Bibliothek” (User-oriented restructuring of The German Digital Library). Particular tasks within the 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 one or more of 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

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

The advertised position gives you the opportunity to contribute to the development of advanced information services in an innovative scientific and technical environment. We offer you interesting tasks within international collaborations as well as performance-oriented career opportunities. Our highly flexible working time models take both your family’s and our organization’s situation and requirements into account. FIZ Karlsruhe considers itself a family-friendly organization and practices equal opportunities. Since October 2016 we have been certified by the audit berufundfamilie (www.fiz-karlsruhe.de/en/stellenanzeigen).

Your salary will be based on the collective agreement for public sector employees (German Tarifvertrag öffentlicher Dienst (TVöD)) and will depend on your profile. The position is limited to two years with an optional extension.

How to apply:
Excellent candidates are invited to apply with:
- detailed curriculum vitae
- copies of degree certificates/transcripts
- publication record
- writing samples/copies of relevant scientific papers
- letters of recommendation (preferably at least two)
- a statement of interest/letter of motivation covering your research goals

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.
The position is limited to 15 months with an optional extension up to 4 years max.
The position is available from October 2020. We will consider applications until the position is filled. 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).

Please send your complete application documents by e-mail, quoting the reference number 24/2020 to
FIZ Karlsruhe – Leibniz Institute for Information Infrastructure
Human Resources
Mrs. Nadine Lambert
Hermann-von-Helmholtz-Platz 1
76344 Eggenstein-Leopoldshafen
Phone: +49 7247/808-168
E-Mail: bewerbung@fiz-karlsruhe.de
Fachbereich
Informatik
Lehrgebiet
künstliche Intelligenz
Abteilung
Information Service Engineering
Anstellungsart
befristet
Vergütung
TV-öD

Bewerbungsanschrift

FIZ Karlsruhe – Leibniz Institute for Information Infrastructure
Human Resources
Mrs. Nadine Lambert
Hermann-von-Helmholtz-Platz 1
76344 Eggenstein-Leopoldshafen

online oder per E-Mail

Ansprechpartner

Prof. Dr. Harald Sack
+49 7247/808-168
harald.sack@fiz-karlsruhe.de
23.09.2020

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