[AISWorld] Project Staff Member (Teaching and Research Associate or Teaching and Research Assistant)

[Javier D. Fernández]

Dear all,

In the course of our research projects around Semantic Data Integration 
and Privacy, we have a new Project Staff Member position (for a 30 hours 
pre-doc, or 20 hours master student) in #Semantic #DataManagement, 
Enterprise #LinkedData, #Privacy, #DataScience.

We offer a great working environment in a strong and well-known research 
group in the area of Semantic Web, Data Management, Linked and Open data 
(for instance recognised by being the hosts of ISWC2017 this year, the 
biggest conference in this area.

Please find the official announcement text below, we look forward to you 
applications, the announcement is open until 27 September, one week to go!

Javier D. Fernández

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



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The Institute for Information Business at the Vienna University of 
Economics and Business (WU Wien)
is currently inviting applications for a

   a 30 hours/week Project Staff Member position (Teaching and Research 
Associate position, pre-doc,employee subject to the terms of the 
Collective Bargaining Agreement for University Staff - Angestellte/r 
gemäß Kollektivvertrag für die Arbeitnehmer/innen der Universitäten; 
minimum gross monthly salary, paid 14 times per year: Euro 2,048.25, 
recognition of previous employment - if relevant to the advertised 
position - possible)

or

   a 20 hours/week Project Staff Member position (Teaching and Research 
Assistant position, employee subject to the terms of the Collective 
Bargaining Agreement for University Staff - Angestellte/r gemäß 
Kollektivvertrag für die Arbeitnehmer/innen der Universitäten; minimum 
gross monthly salary, paid 14 times per year: Euro 978.00).

This employee position will be limited to a period from October 1, 2017 
(commencement date subject to change) until March 31, 2020.

Please note that under the terms of the WU personnel development plan, 
the position of Teaching and Research Associate is limited to an 
employment period of not more than six years. Applicants who are already 
employed at WU as substitute employees can therefore only be employed 
for the time remaining to complete the six-year period. Persons who have 
already been employed at WU in a Teaching and Research Associate 
position can only be re-employed in an Assistant Professor, tenure track 
position.

Pursuant to the Collective Bargaining Agreement, only students who have 
not yet completed a master or diploma degree program can be employed. 
Please note that under the terms of the WU personnel development plan, 
student employee positions are limited to an employment period of not 
more than two years.

Responsibilities:
The candidate is either going to be employed as a research assistant 
(master student) or as a research associate (PhD student), depending on 
the qualification, cf. Different profiles outlined below. The candidate 
is expected to conduct research under the supervision of the principle 
investigator Prof. Dr. Axel Polleres within one of our research 
projects, in the course of which we will conduct research on data 
management, security and privacy mechanisms for Linked Data, with a 
particular focus on scalable integration, enrichment, querying, 
policy-based access control and encryption in the context of Linked Data 
and event streams.

Your Profile:
Project Staff Member (Teaching & Research Assistant): this type of 
candidates must be pursuing an ongoing master degree in computer 
science, information systems, business informatics (or a related field 
of study), practical or theoretical experience in at least one of the 
following topic areas is a prerequisite:

     knowledge representation & reasoning

     linked data

     data mining and machine learning

     databases

     distributed systems

     semantic web

     software engineering

     graph theory/graph databases

     machine learning

     big data management (scalability, streams, integration of 
heterogeneous data sources)

We expect excellent study results, technical knowledge of programming 
languages such as C++, Java or Python, structured data formats such as 
JSON, XML and RDF, and query languages such as SQL, SPARQL, etc. 
proficiency in English.

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Please apply here with the usual with the usual documents, i.e. CV 
(incl. publications), motivation letter, & references until 27 September 
2017:

https://www.wu.ac.at/en/careers/careers-at-wu/current-job-openings/#c484507

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