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Stellenangebote

PhD position in NLP, Knowledge Graphs, DeepLearning

Organisation
FIZ Karlsruhe - Leibniz Institute for Information Infrastructure
Ort
Karlsruhe
Profil
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. FIZ Karlsruhe is a non-profit GmbH and one of the largest information infrastructure institutions in Germany.

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 statistical 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.
Website der Organisation
fiz-karlsruhe.de
Besetzung ab
Oktober 2020
Bewerbungsfrist
30.11.2020
Stellenprofil
We are recruiting for the full-time position of a PhD / junior researcher in the fields of
- Natural Language Processing
- Knowledge Graphs
- Machine Learning and Deep Learning
starting in October 2020.

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.

Job Description:
The offered position will be in the research team “Information Services Engineering” (FIZ ISE). The doctorate will be supervised by Prof. Dr. Harald Sack (FIZ Karlsruhe & Karlsruhe Institute of Technology, KIT, Institute of Applied Informatics and Formal Description Methods). Teaching (at KIT, https://www.aifb.kit.edu/web/Harald_Sack/en) is not mandatory, but welcome on a volunteer basis. Work will be focused on challenging third party funded international research projects related to the PhD topic. In particular for this position the candidate will work 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


Required Qualifikation:
Candidates have an outstanding master‘s degree (or an equivalent university degree) in computer science or another related discipline (as e.g. mathematics, computational linguistics, information sciences, computer engineering, etc.) and will target a Ph.D. degree.
We expect 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. If necessary applicants are expected to improve their English and German language skills through intensive language classes.
Qualified candidates who are about to complete their master degree are also encouraged to apply.

We offer:
A creative, active, internationally renowned research group, support for publication at leading international conferences and journals, excellent supervision in our Ph.D. program, and an outstanding working environment in a new, technically excellent campus.
The chance to shape future-oriented information services in an innovative scientific and technological environment.
Work contract with a salary based on the collective agreement for public sector employees (German Tarifvertrag öffentlicher Dienst (TVöD)), which depends on the candidate’s profile. The position is limited to 15 months with an optional extension.

How to apply:
Excellent candidates are invited to apply with:
- detailed curriculum vitae
- copies of degree certificates/transcripts (including grade sheets),
- publication record (including DBLP or Google Scholar profile)
- writing samples/copies of relevant scientific papers (e.g. thesis, etc.),
- letters of recommendation (preferably at least two from previous supervisors),
- a statement of interest / letter of motivation covering your research goals, why you pursue a PhD in computer science and why you think you can contribute to FIZ ISE research topics.

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 available from October 2020. We will consider applications until the position is filled.

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 research. Our customers include international market leaders from the pharmaceutical and chemical industries as well as large patent offices and research institutions. FIZ Karlsruhe is a non-profit GmbH and one of the largest information infrastructure institutions in Germany with approximately 330 employees at three locations in Germany and at one subsidiary in the US.

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@fiz-karlsruhe.de).

Please send your complete application documents by e-mail, quoting the reference number 23/2020 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

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

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