Assistant Professor, Non-tenure Track or Teaching

vor 2 Wochen

Wien, Wien, Österreich Wirtschaftsuniversität Wien Vollzeit
Vienna University of Economics and Business

  • Research, development, teaching
  • Full/part time
- published till:

You want to understand how things are connected and make a fundamental impact on the further development of Next Generation Data Ecosystems and Artifical Intelligence?
We offer an environment where you can realize your full potential. At one of Europe's largest and most modern business and economics universities. On a campus where quality of work is also quality of life. We are looking for

2 x Part-time Teaching and Research Associates (pre doc), 30 hours/week or

an Assistant Professor (post doc) non tenure track, 40 hours/week
(depending on qualification) at the Institute for Data, Process and Knowledge Management

starting 1 November, 2023, and ending after 6 years

Our vision
In our research group on Data Management, led by

Prof. Axel Polleres within the Institute for Data, Process and Knowledge Management at WU Vienna, we are convinced that the future of Artificial Intelligence and Datamanagement will be shaped by

_Open Knowledge Repositories_ such as

_Knowledge Graphs_, as well as combined symbolic and subsymbolic approaches

Hybrid AI) that leverage both

unstructured text data,

-
_Datamanagement_:

-
_Knowledge Graphs_:

-
_Artificial Intelligence_
to jointly develop our vision of

_"Natural" Data Understanding _:

- and_

What to expect:

-
Research life:Collaborate with your colleagues on ongoing research projects at the Institute. Support Institute research projects and set up your own projects with a focus on bringing the above outlined vision forward.
-
Teaching:Plan, create and teach courses and contribute to curriculum development
-
Supervise students:Advise students and (co-)supervise their theses and exams
-
Build a personal network:build your personal network with contacts in research, industry, and business within the institute's excellent international collaboration network
-
Organizational and administrative support:Support or (co-)organize workshops as well as national and international conferences we run together with the institute team
-
Writing a dissertation and/or work on a habilitation:as a pre doc, you will be investigating your research topic and spending a third of your working hours on writing your dissertation. As a post doc, you have the opportunity to work towards you own habilitation, building up your own independent research profile.

  • Opportunity to explore your own interests in these broad research areas
  • Interdisciplinary research is encouraged.
  • Teamwork with intensive research mentoring
  • Participation in international conferences (e.g. ISWC, The WebConf, IJCAI, etc.) or topicrelated summer schools
  • Profit from and become part of our international research network with the opportunity for research visits to network partners.

What you have to offer:

-
Academic degree:

- _For qualifying for the pre doc position_ you have completed or will shortly complete a master's degree that qualifies you for enrolling in a PhD program at WU.
- _For qualifying for the post doc position, _you have completed a PhD, or will shortly complete a PhD or doctorate.

  • Computer Science, Digital Economy, Information Technology, Software Engineering, Information Systems, Business Informatics, Mathematics, Social and economic sciences (e.g. Business Administration, Management or Economics with a focus on Digitalisation), or a specialized related field to one of these areas.
-
Research experience:

  • For the _post doc position_, we expect a proven research track record in terms of peerreviewed publications, as well as a motivating research statements that explains how your expertise contributes to the institute's vision.
  • For the _pre doc position_ prior experience in terms of already coauthored scientific articles is a plus, but not required, please detail your experiences and motivation for academic research in the required motivation letter.
-
Language skills:You are fluent and able to express yourself very well in both spoken and written English.
-
Multimedia Teaching readiness:You have readiness in using multimedia teaching and learning formats.
-
Additional skills:Experience and intermediate to very good skills in at least one of the following research areas contributing to our research vision is an advantage:

  • Logical reasoning
  • Machine Learning
  • Data Mining
  • Information Extraction
  • Semantic Web Technologies
  • Scalable and Decentralized Data Processing
  • Data Science Data Analytics a Statistics (including R or Python)
  • Database theory/Database query languages and query processing
  • Software engineering (e.g. Java, Python)
  • Interdisciplinary research (such as for instance combining technical with empirical research methods)
  • Likewise, we appreciate:
  • Teaching experience (e.g. prior experience in tutorials, workshops)
  • German languag

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