Teaching and research associate

• 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 topics in Behavioral Decision Making, Digital Ecosystems, Data Science, Decision Support, and Online Consumer Behavior
• Teaching: Plan, create and teach courses
• Supervise students: Advise students and co-supervise their theses and exams
• Build a personal network: Use the pre-doc phase to start building your personal network with contacts in research, industry and business
• Organizational and administrative support: Support workshop and conference organization and work together with the Institute team on general tasks
• Writing a dissertation: You will be investigating your research topic and spending a third of your working hours on writing your dissertation.
• Exciting research projects on digital ecosystems in a variety of contexts (e.g., financial, consumer, workplace) from a variety of perspectives (e.g., de-biasing and nudging, algorithm development, interface development, adaptive systems design, biosignal processing) with a variety of research methods (e.g., experiments, design science)
  • Opportunity to explore your own interests in this broad research area.
  • Interdisciplinary research is encouraged.
  • Small team with intensive research mentoring
  • Participation in international conferences (e.g. ICIS, ECIS)
  • International research network with the opportunity for research visits to network partners

• Academic degree: You have completed a master's degree that qualifies you for enrolling in a PhD program in one of the following subject areas:Language skills: You are fluent and able to express yourself very well in both spoken and written English. 
  • Information Systems, Business Informatics
  • Information Technology, Software Engineering, Computer Science
  • Social and economic sciences (e.g. Business Administration, Management or Economics)
  • Psychology (e.g. Organisational or Business Psychology) 
• Additional skills: Experience and intermediate to very good skills in at least one of the following areas is an advantage:
  • Teaching (e.g. prior experience in tutorials, workshops)
  • Data science and statistics (including R or Python)
  • Software engineering (e.g. Java, Python)
  • Experimental research (e.g. behavioural and experimental economics, psychology)
  • German language

• Curriculum Vitae
• Motivation Letter
• Transcript of your ongoing or finished Master’s Study
• If applicable: certificate(s) or references for additional skills

• A top business and economics university with renowned experts on the faculty and a diverse range of subjects, triple accredited
• Excellent infrastructure, both technologically and architecturally, and a wide range of WU service units
• Diversity and appreciation in an open-minded, inclusive and family-friendly environment
• Flexibility and individual freedom thanks to flexible working hours
• Inspiring campus life with over 2,400 employees in research, teaching, and administration and approximately 21,500 students on a conveniently located, architecturally unique campus in the heart of Vienna