20.2963, Jobs: Text Mining: Post Doc, Friedrich-Schiller-Universit ät Jena

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LINGUIST List: Vol-20-2963. Wed Sep 02 2009. ISSN: 1068 - 4875.

Subject: 20.2963, Jobs: Text Mining: Post Doc, Friedrich-Schiller-Universität Jena

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1)
Date: 28-Aug-2009
From: Udo Hahn < udo.hahn at uni-jena.de >
Subject: Text Mining, Computational Linguistics: Post Doc, Friedrich-Schiller-Universität Jena, Germany, Jena, Thuringia
 

	
-------------------------Message 1 ---------------------------------- 
Date: Wed, 02 Sep 2009 12:34:57
From: Udo Hahn [udo.hahn at uni-jena.de]
Subject: Text Mining, Computational Linguistics: Post Doc, Friedrich-Schiller-Universität Jena, Germany, Jena, Thuringia

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University or Organization: Friedrich-Schiller-Universität Jena 
Department: Jena University Language & Information Engineering
Job Location: Jena, Thuringia, Germany 
Web Address: http://www.julielab.de

Job Rank: Post Doc  

Specialty Areas: Computational Linguistics; Text Analytics


Description:

Text Mining Position
@ JULIE Lab (FSU Jena, Germany)

The Jena University Language & Information Engineering (JULIE) Lab has a 
vacant position for a Post Doc in the area of text mining available to 
boost its efforts in advanced text analytics, i.e., named entity and 
relation extraction, knowledge discovery from texts. Annual salary 
ranges from 45,000 - 50,000 € (approximately 65,000 $) dependent on 
previous work experience. JULIE Lab has a strong reputation in 
biomedical information extraction and text mining and is an 
international leader in research in the field of text analytics (please, 
visit http://www.julielab.de).

Requirements for Candidates:
- outstanding Doctoral degree in computational linguistics/language 
technology or related fields in computer science (information retrieval, 
data mining, artificial intelligence, machine learning, information 
systems, human-computer interaction, Semantic Web, etc.) from a major 
school/department/university
- necessary: good proficiency in statistics and machine learning 
methodologies
- desired: solid information extraction/text mining skills
- excellent programming skills (Java), awareness of software engineering 
discipline in coding (UIMA, coding conventions, SE tools, etc.)
- background knowledge in the life sciences (can also be acquired or 
deepened while staying in the lab)
- strong dedication to scientific excellence


Application Deadline:  (Open until filled)
	  
Email Address for Applications: udo.hahn at uni-jena.de 
Contact Information:
	Professor Udo Hahn 
	Email: udo.hahn at uni-jena.de 
	Phone: 493641944320





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LINGUIST List: Vol-20-2963