[Students-l] Fwd: [Sigmetrics] Research Associate (Doctoral candidate) (f/m) in Information Extraction/ Information Filtering

[Michel Menou]

-------- Forwarded Message --------
Subject: 	[Sigmetrics] Research Associate (Doctoral candidate) (f/m) in 
Information Extraction/ Information Filtering
Date: 	Thu, 9 Jun 2016 11:38:46 +0000
From: 	Mayr-Schlegel, Philipp <Philipp.Mayr-Schlegel at gesis.org>
To: 	IRList at lists.shef.ac.uk <IRList at lists.shef.ac.uk>, 
sigmetrics at mail.asis.org <sigmetrics at mail.asis.org>



GESIS – Leibniz-Institute for the Social Sciences is the largest 
infrastructure institution for the Social Sciences in Germany. With more 
than 300 employees in two locations (Mannheim and Cologne) GESIS render 
substantial, nationally and internationally relevant research-based 
infrastructure services.

The GESIS department "Knowledge Technologies for the Social Sciences" 
(WTS) is focused on advancing and improving digital services for the 
Social Sciences on the basis of novel knowledge technologies. To ensure 
a high quality of GESIS services WTS is carrying out research in applied 
Computer Science, in particular in the fields Web Science, Semantic Web, 
Linked Open Data and Information Retrieval.

In the DFG-funded project “*Extraction of Citations from PDF Documents 
(EXCITE)*” [1] we develop together with our project partner the WeST 
institute at University Koblenz-Landau (Prof. Steffen Staab) a platform 
to extract literature references from full texts and further process 
this data into linked data.

For the department WTS at our location in Cologne, we are looking for a

*Research Associate (Doctoral candidate) (f/m) in Information 
Extraction/ Information Filtering *

*(salary group TV-L EG 13, 100%, limited to 24 month)*

starting on September 1, 2016.

Your tasks will be:

• Development of data extraction techniques (extraction of literature 
references/citations) from PDF files,

•             Conception and development of web service APIs for 
citation extraction,

• Implementation of information filtering and data linking methods,

• Integration of the extracted data in productive information systems,

• Publication of project results as Linked Data and

•             Evaluation of the techniques / process pipeline and 
publication of the project results.

Your profile:

•             Excellent university degree in computer science or 
comparable field,

•             Solid experience in software development in Java, Web- and 
XML-technologies, data-base and search technologies,

•             Very good knowledge and experience in text mining 
technologies and recent search engine technologies (e.g. SOLR) and with 
Digital Libraries,

•             Knowledge in Perl Programming Language desired,

•             Knowledge in the development of portal and discovery 
systems desired,

•             Knowledge in the further development of Natural Language 
Processing (NLP) techniques desired,

•             High degree of problem solving skills and distinct 
communication skills and team capabilities and

•             Good knowledge in spoken and written German and English.

GESIS guarantees that guidelines regarding employment laws for the 
disabled and handicapped as well as laws and regulations governing 
part-time employment will be observed. GESIS promotes the professional 
equality for women and men and is certified by the European work & 
family audit.

For further information concerning job description please contact Dr. 
Philipp Mayr under telephone +49 (0)221-47694-533 or via Email 
philipp.mayr at gesis.org.

We only process online applications. Please apply her until July 04, 2016

The number is WTS-37.

<https://www.hidden-professionals.de/HP/P_shorts/Now_Candid.aspx?jo=119719>

[1] 
http://www.gesis.org/forschung/drittmittelprojekte/projektuebersicht-drittmittel/excite/

--

Dr. Philipp Mayr

Team Leader

GESIS - Leibniz Institute for the Social Sciences

Unter Sachsenhausen 6-8,  D-50667 Köln, Germany

Tel: + 49 (0) 221 / 476 94 -533

Email: philipp.mayr at gesis.org <mailto:philipp.mayr at gesis.org>

Web: http://www.gesis.org <http://www.gesis.org/>

Become a sowiport user! Register here:

http://sowiport.gesis.org/

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