[AISWorld] Postdoc opening: Complexity Science and the Semantic Web

[Javier D. Fernández]

Dear all,


The Vienna University of Economics and Business (WU Wien) invites 
applications for a 3 year non-tenure track postdoc position in 
collaboration between the Data Management Group in WU’s Institute for 
Information Business (https://www.wu.ac.at/en/infobiz/) and the Vienna 
Complexity Science Hub (CSH)  (https://www.csh.ac.at) in the area of


          Complexity Science and the Semantic Web


It is the main goal of the Vienna Complexity Hub to foster and 
facilitate interdisciplinary and inter-organisational research in Vienna 
around complex systems, networks and big data. The Web and structured 
Data on and collected from the Web are one of the most widely studied 
complex systems nowadays, influencing others like smart cities (for 
instance through Open Data, but also through social media, and more 
recently through participatory citizen science. While Complexity Science 
studies complex systems as such, Semantic Web technologies and standards 
focus on bringing structure to non-structured data and develop methods 
for scalable methods for integrating, processing and understanding Web data.


==== We offer ====

a postdoc position within a cutting edge research environment, working 
with leading experts in the fields of Web science, Semantic Web, 
Economics and complex systems. As a plus, Vienna is one of the world's 
most liveable cities (according to many rankings even the most liveable 
one). The position is for an initial period of three years with a salary 
according to Austrian standards with the opportunity and expectation to 
define proposals for joint follow-up projects for a longer-term 
position. The successful candidate shall help to complement the 
interdisciplinary team in CSH with expertise fostering these 
prerequisites and support us to build large-scale infrastructures to 
collect data from the Web and to study the Web as a complex system, as 
well as its impact in the non-virtual world in connection with other 
complex systems. As the Web as an ecosystem grows faster than our 
ability to make sense of it with the established methods of the Semantic 
Web alone, we need to rethin!
  k both the classical knowledge representation paradigms as well as 
processing models for understanding the Web and its data, its evolution 
and scale as a whole. Candidates with a strong background in Semantic 
Web, Web Science or Complexity Science, and particularly in bridging 
between these areas are welcome. Together with the team at CSH, the 
successful candidate shall work on developing novel methods and 
infrastructures to collect and process Open Web Data, combine it with 
closed data and conduct large-scale experiments.


==== We search for ====

Excellent creative and highly motivated scientists with a PhD in 
computer science, complex systems, Web science, or related disciplines 
with strong technical skills and research record. The candidate must 
have high interest in multidisciplinary research, and we look for 
critical, open-minded and collaborative spirit.
Your profile: you must be proficient in the English language both 
written and spoken. We are looking for candidates with expertise and a 
strong publication record in at least one of the following topics 
(several is a plus):
* Building and Processing Knowledge Graphs (such as methods for 
efficient interchange, extraction and structuring of Linked Data)
* Knowledge Representation and Reasoning for Web Data (with a particular 
focus on non-standard, scalable and robust methods applied to real world 
data)
* Combining quantitative and statistical methods with the 
afore-mentioned Knowledge Representation and Reasoning methods
* Analyzing the Dynamics and Evolution of Web Data (particularly methods 
and infrastructures for archiving and analysing such data at scale)
* Scalable Methods for managing Information complexity of the Web 
(particularly Big Data Infrastructures to process data at Web scale)
* Connecting virtual and physical communities by data and semantics on 
the Web (particularly also social and technical implications)
* Combining Open and Closed Data (particularly also mastering 
implications and technical challenges on privacy and security)

Interested candiates please apply with the usual documents (CV, 
motivation letter, research statement, references, full publication 
list) until 11 November 2017.

For more detailed information on the position and how to apply please 
use this link:
    http://csh.ac.at/news/news_item.php?newsid=71

For questions about the position, please contact Prof. Axel Polleres via 
this email address: office at csh.ac.at


-- 
Javier D. Fernández

WU Vienna, Institute for Information Business
Tel: +43-1-31336/5241
https://www.wu.ac.at/en/infobiz/team/fernandez/