Graduate Assistant

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Open Position at the Research Hub for Open Digital Innovation

Are you intrigued by the way digital technologies have changed the way we collaborate with others, develop new products, or diffuse our research ideas?  Are you interested in exploring innovation networks and how individuals contribute to tools, ideas, products, and services within them? Are you excited about data-driven analysis, statistics, and computational methods for explaining and predicting complex behavior in cyber infrastructures for innovation and collaboration? Then you should join the Research Center for Open Digital Innovation ( as a graduate assistant. Its interdisciplinary research team tackles fundamental design, social, managerial, and policy related research questions that need to be addressed in today’s open, democratized, and digital innovation landscape. The research hub has an ambitious international innovation research agenda.


This position needs to be filled in Spring 2014 before March 24, 2014 and also includes summer employment. Right from the beginning you will be involved in projects and courses on digital networks, network analytics, predicting emerging roles, and behaviour. In addition, you will be involved in the design of a new research project on computational research on digital innovation and science ecosystems. Further, you will support the team to implement the set-up of an innovation think tank. In particular, you will be involved in

  • Data collection, cleaning, and data analysis (social network analysis, pattern analysis, cluster analysis, predictive modelling e.g. exponential graph analysis)
  • Programming and coding for automated data retrieval
  • Structured literature review (academic journals)
  • Desk research and analysis of websites
  • Day-to-day administrative liaison
  • Design of PPT templates for course



  • Experience in using R (and ideally also STATA and SPSS)
  • Experience in programming skills (Python, Java)
  • Experience in using and applying quantitative research and data analysis methods; in particular social network analysis, regression analysis,
  • Experience in developing PPT presentations and written reports


  • Completed bachelor degree in the area of computer science, statistics, economics, engineering,
  • Successful completion of courses in data analysis


  • Excellent statistical skills, and analytical skills
  • Excellent written and verbal communication skills
  • Excellent written communication skills and the ability to write clearly and succinctly
  • Ability to prioritise own work in response to deadline

Contact: Prof. Sabine Brunswicker,;

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