3 fully funded PhD student positions in Knowledge Graphs

Call for Applications - KnowGraphs - Marie Sklodowska-Curie ITN

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Call for Applications
3 PhD Positions
Marie Sklodowska-Curie ITN - European Training Network
KnowGraphs: Knowledge Graphs at Scale
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The L3S Research Center, Hannover, Germany, invites applications for

             3 fully funded PhD student positions

in the areas of Data and Text Mining, Machine Learning, Semantic
Technologies and Natural Language Processing.

We are starting a new project funded by the European Union Horizon
2020 research & innovation programme under the Marie Sklodowska-Curie
Innovative Training Networks. The project is entitled KnowGraphs
<Knowledge Graphs at Scale> and offers in total 15 PhD positions. One
of these PhD position will be located in Prof. Nejdl's group, the
other two in Prof. Staab's research group.

Indicative topic titles are:
- Knowledge graph creation using neural embeddings from word and data
  (Staab) 
- Managing polymorphic knowledge graphs (Staab)
- Hybrid representations of knowledge graphs for search (Nejdl)

The PhD positions foresee internships at several international project
partners (academic and industrial).

The candidates should possess good knowledge in one or several areas
relevant for the topics specified in this announcement. Good
proficiency in English is expected; knowledge of further European
languages is of advantage. International experience during your
studies or afterwards as well as good social and communication skills
are helpful.

The salary amounts to German TV-L E13, which is roughly 48.000 Euro
income in the first year and 52.000 Euro in the second and third year.


Please submit your application including the usual documents as well
as a list of references by email indicating the PhD topics that you
would consider, to: 

Prof. Dr. Wolfgang Nejdl
E-Mail: nejdl (at) L3S.de
http://www.L3S.de/ <http://www.l3s.de/>
and to:
Prof. Dr. Steffen Staab
E-Mail: staab (at) L3S.de 
http://www.L3S.de/ <http://www.l3s.de/>

Received on Sunday, 27 October 2019 01:19:51 UTC