IT System Administrator

Part time (10h/week with the option to increase the weekly hours*)

The Complexity Science Hub Vienna is a young research institution dedicated to gaining a deeper quantitative and predictive understanding of complex systems. We provide an exciting, creative environment free of bureaucratic constraints for open-minded visionaries who are brave enough to step out of mainstream science.…

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Master programmes in Business Analytics, Data Science, and Digital Humanities at the University of Vienna

The research platform Data Science @ Uni Vienna is currently promoting three new master programmes in Business Analytics, Data Science and Digital Humanities starting winter term 2020/21 – a joint venture of the faculties Business, Economics and Statistics, Computer Science, Mathematics, Historical and Cultural as well as Philological and Cultural Studies. …

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Job Opportunities from Wiener Linien

Wiener Linien has a plenty of opportunities,

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Researcher Data Science (m/f) (40 h)

The position is vacant in the Institute of IT Security Research.

Ihre Aufgaben

  • You independently work on a scientific research project in the field of data science
  • You work in a team but are also capable of taking the lead in parts of the project
  • You contribute to academic papers as co-author
  • You make project acquisition in the field of Data Science
  • You teach students in small groups and involve them in project work
  • You independently publish papers and hold lectures at international conferences

Ihre Qualifikation

  • Degree in computer science (at least master’s, ideally PhD)
  • Several years of relevant research experience and/or practical experience
  • Good programming skills (preferably Python, but not a must)
  • Knowledge in Machine Learning, Data Science and Deep Learning
  • Knowledge in R, Hadoop and Spark
  • Good English language proficiency
  • Keen on analysing problems and finding solutions; willingness and capability to dive into new research areas fast

Unser Angebot

  • Long-term employment (40 h) with numerous benefits such as flexible work time model (home office) etc.
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As you will be working on our core product you will be working on real world problems which directly affect millions of consumers daily.

Your responsibilities will cover challenges facing all areas of the business in a cross functional team. We have a wide range of data sets both structured and unstructured from a variety of sources both real time and batch data coming from search, recommendations and supplier on-boarding.…

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