[Elsnet-list] Web Intelligence, Text Mining :: Position Announcement

Arno Scharl scharl at modul.ac.at
Thu Jan 30 14:31:05 CET 2014


PhD Candidate and Postdoctoral Positions
http://www.weblyzard.com/jobs

The Department of New Media Technology of MODUL University Vienna and the
Research Institute for Computational Methods of Vienna University of
Economics and Business offer PhD Candidate and Postdoctoral positions.
Participate in award-winning international research projects and become part
of a young and interdisciplinary team. You will closely work together with
other researchers with a passion for conceptualizing and implementing novel
solutions to challenging technical problems. You will collaboratively
advance the state of the art in one or more of the following disciplines: 

Web Intelligence, Natural Language Processing, Text Mining, Knowledge
Extraction, Visual Analytics, Semantic Search and Linked Data.

Additional information on related research projects is available at
www.decarbonet.eu, www.pheme.eu, www.ucomp.eu and
www.weblyzard.com/research.

Essential Qualifications

** Strong Analytical Skills and Extensive Software Development Experience 
     (preferably in Python, Java, or JavaScript)
** Documented Research Track Record and Project Experience (for Postdoctoral
Positions)
** Excellent Written and Spoken English (German is not a requirement)

Desired Qualifications, Focus Area 1 :: Metrics and Visual Analytics

** Dashboards for Information Exploration and Web Intelligence Applications
** Dynamic Web Technologies (JavaScript, jQuery, D3.js, HTML5)
** Decision Support and Communication Success Metrics

Desired Qualifications, Focus Area 2 :: Natural Language Processing

** Sentiment Analysis and Opinion Mining
** NLP Methods such as POS Tagging, Named Entity Recognition, Dependency
Parsing, etc.
** Affective and Factual Knowledge Extraction with Semantic Technologies

The positions remain open until filled. Salary levels follow the guidelines
of the Austrian Science Fund
(www.fwf.ac.at/de/projects/personalkostensaetze.html). MU Vienna and VUEB
are equal opportunity employers and encourage qualified women to apply.
Please send your application including cover letter, curriculum vitae and
academic transcript to maximilian.lang at modul.ac.at (in English or German;
preferably as a single PDF file not exceeding 8 MB).

---
Prof. DDr. Arno Scharl
MODUL University Vienna
Department of New Media Technology
Am Kahlenberg 1, 1190 Vienna, Austria
web | www.modul.ac.at/nmt
email | scharl at modul.ac.at
twitter | @weblyzard



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