33.1903, Support: English; Computational Linguistics; Text/Corpus Linguistics: PhD, TIB – Leibniz Information Centre for Science and Technology

[The LINGUIST List]

LINGUIST List: Vol-33-1903. Tue May 31 2022. ISSN: 1069 - 4875.

Subject: 33.1903, Support: English; Computational Linguistics; Text/Corpus Linguistics: PhD, TIB – Leibniz Information Centre for Science and Technology

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Date: Tue, 31 May 2022 13:30:41
From: Jennifer D'Souza [jennifer.dsouza at tib.eu]
Subject: English; Computational Linguistics; Text/Corpus Linguistics: PhD, TIB – Leibniz Information Centre for Science and Technology, Hanover, Germany

 Institution/Organization: TIB – Leibniz Information Centre for Science and Technology 
Department: Data Science and Digital Libraries 
Web Address: https://www.tib.eu/en/research-development/research-groups-and-labs/data-science-digital-libraries 

Level: PhD 

Duties: Research
 
Specialty Areas: Computational Linguistics; Text/Corpus Linguistics 
Natural Language Processing; Corpus Annotation 
Required Language(s): English (eng)

Description:

Research Associate/PhD Candidate “Computer Science: Computational Linguistics
& Corpus Annotation” (m/f/d)

The PhD topics will be in the context of the Open Research Knowledge Graph
(https://www.orkg.org) and the project “SCINEXT - Neural-Symbolic Scholarly
Innovation Extraction”, funded by the Federal Ministry of Education and
Research (BMBF). The aim of these projects is to research and develop
techniques for crowdsourcing, representing and managing semantically
structured, rich representations of scholarly contributions and research data
in knowledge graphs and thus develop a novel model for scholarly
communication. In the context of the PhD thesis you will be responsible for
conducting independent and original scientific research involving corpus
development and annotation in organizing research contributions in the ORKG in
a structured, semantic way, so other researchers can get a quick overview on
the state-of-the-art in the field. You will participate in local, national and
international collaboration activities. Given the multidisciplinary nature of
the programme, we encourage applicants with a strong curiosity and interest in
Science to apply.

Your tasks will focus on: 
 - Collaborating with researchers from different disciplines to gain
familiarity with research problems and their contribution descriptions
expressed in scholarly literature.
 - Conceptually designing, modelling and implementing ontology-based knowledge
representations for crowdsourcing of the Open Research Knowledge Graph.
 - Annotation and curation of multidisciplinary scholarly contribution
descriptions.

Web Address for Applications:
https://www.tib.eu/en/tib/careers-and-apprenticeships/vacancies/details/stelle
nausschreibung-nr-32-2022
 

Application Deadline: 28-Jun-2022 

Web Address for Applications: https://www.tib.eu/en/tib/careers-and-apprenticeships/vacancies/details/stellenausschreibung-nr-32-2022 

Contact Information: 
	Dr Jennifer D'Souza
	jennifer.dsouza at tib.eu  


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LINGUIST List: Vol-33-1903	
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