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PostDoc/project lead position in Web mining of research data (NLP, IR, machine learning)

From: Stefan Dietze <dietze@l3s.de>
Date: Thu, 7 Oct 2021 12:07:31 +0200
To: "semantic-web@w3.org" <semantic-web@w3.org>
Message-ID: <3ca0bd7b-748e-2781-62e0-6dc177003a93@l3s.de>
For the next possible date, Heinrich-Heine-University Düsseldorf and 
GESIS (department Knowledge Technologies for the Social Sciences), 
located in Cologne, is looking for a

*Postdoc / Senior Researcher in Web information extraction (NLP, IR, 
machine learning)*
*(**Salary group 13 TV-L, working time 100%, 3 years duration**)

In the context of the DFG-funded project "UnknownData", we will be 
working on web mining of research data with partners from 
Heinrich-Heine-University Düsseldorf, HeiCAD (Heine Center for 
Artificial Intelligence & Data Science), GESIS, Humboldt University 
Berlin and DBLP. The project is focused on crawling, extracting and 
consolidating research data from the Web, using methods from Web 
archiving, information extraction, NLP and machine learning.

Your tasks will be:
* Research in the areas of Natural Language Processing, Knowledge Graphs 
and/or Machine Learning, in particular focused on Web information 
extraction in large Web archives
* Coordination of the project and project partners
* Supervision of PhD students in the context of the UnknownData project
* Publishing and presenting your research at top-tier conferences/journals

Your profile:
* PhD in Computer Science, Data Science or comparable fields
* Good research track record in one or more of the following areas: 
information & knowledge extraction, NLP, knowledge graphs, machine learning
* Good oral and written communication skills in English, knowledge of 
German desirable

We offer:
* Flexible working hours and home office arrangements
* A fast growing and international working environment with a lot of 
creative scientific freedom
* Excellent career opportunities in research as well as in software 
development and data engineering
* Access to unique research data, web archives and behavioral data
* Support of collaborations with international research labs and experts 
through an extensive international exchange programme

Find more information and how to apply here: 
*Application deadline: November 03, 2021*.

For further information concerning the tasks please contact Prof. Dr.
Stefan Dietze via phone +49 (0221) 47694 - 421 or via *E-Mail*

Prof. Dr. Stefan Dietze

Scientific Director Knowledge Technologies for the Social Sciences
GESIS - Leibniz Institute for the Social Sciences

Professor of Data & Knowledge Engineering
Heinrich-Heine-University Düsseldorf
Web: https://www.cs.hhu.de/en/research-groups/data-knowledge-engineering

Member at L3S Research Center
Web: http://www.l3s.de

Phone: +49 (0)221-47694-421
Web: http://stefandietze.net
Received on Thursday, 7 October 2021 10:07:50 UTC

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