Job opportunity Teaching and Research Associate at Wirtschaftsuniversität Wien Jobportal

What to expect

• Pursue your dissertation: Participate in WU’s Ph.D. program and profit from close supervision and team work.
• Conduct research: Collaborate on research projects, for example on the influence of AI in improving headquarters-subsidiary relations, decision making, influence of culture on AI reliance, behavioral aspects of strategic management and problem solving processes involving the AI/machine learning systems. Most projects involve experimental design and quantitative data; some of the projects are conducted with top corporate partners.
• Collaborate in a team: Work closely with other team members. Currently, we have 2 Assistant Professors and 3 PhD students in a highly diverse team.
• Develop: Spend a semester abroad during your PhD. For example, previous Ph.D. students have stayed at the universities INSEAD, Michigan, and Stanford. Profit from research collaborations with many renowned international professors in our network. Prof. Nell’s previous doctoral students were able to land excellent Assistant Professorship positions at institutions such as NOVA Business School, Rotterdam School of Management, and University of Amsterdam.
• Become a member of the scientific community: Participate actively in international conferences and present and discuss your research with scholars around the world.
• Teach and Contribute: Teach one course per semester (first semester is teaching-free), co-supervise theses, and support the administration of the institute.
• Develop Skills: Build conceptual, interpersonal, and methodological skills over the course of your employment. Specifically, skills related to data management and analysis will be extremely valuable afterwards in case you decide not to pursue an academic career after your doctorate.

What you have to offer

• A Master’s degree in business, (digital) economics, IT, psychology or cognitive sciences, or related fields from a well-rated university
• Very good grades in the Bachelor’s as well as the Master’s degree
• Strong motivation to pursue an academic career and to conduct research and teaching
• Excellent English language skills – specifically in writing
• German language skills (B2 level or higher) are a plus
• Advanced skills in quantitative methods / statistics (e.g. experience with STATA or R)
• Programming skills (e.g. in Python), especially related to AI algorithms, are a plus
• A strong interest in the area of AI in international business & strategy
• Previous publications and experience in AI-related research projects are a plus
• Goal-orientation, ambition, and resilience
• Willingness to use multimedia teaching and learning formats

What we offer you

• Inspiring campus life with over 2,400 employees in research, teaching, and administration and approximately 21,500 students
• A modern campus with spectacular architecture in the heart of Vienna
• Excellent accessibility by public transportation
• Meaningful work in an open-minded, inclusive, and family-friendly environment
• Flexible working hours
• A wide range of benefits, from an in-house medical officer to athletic activities and a meal allowance to a variety of employee discounts