Teaching and Research Associate

You want to understand how things are connected and make a fundamental impact? 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 support at the
Institute for Retailing & Data Science
Part-time, 30 hours/week
Starting December 01, 2025, and ending after 6 years

The Institute for Retailing & Data Science (RDS) is committed to advancing research and education at the intersection of retailing and data science. As data-driven marketing strategies become increasingly vital for retail businesses—fueled by scalable computational resources and rapid advances in data science methods—our work aims to meet this growing demand.

Our research approach combines cutting-edge data science techniques with deep domain expertise in retail management to support evidence-based decision-making by managers and policymakers. In teaching, we strive to prepare the next generation of marketing professionals to navigate and shape the digital transformation of the retail sector. Because our research addresses timely and widely relevant challenges, we are equally committed to sharing our insights with a broader public audience.

We are seeking a candidate who conducts high-impact quantitative marketing research using machine learning and econometric modeling techniques. We welcome applications from dynamic, self-motivated individuals eager to pursue an academic career. You will join a vibrant and internationally oriented team committed to excellence in research and teaching. We actively encourage collaboration within the university and across our international academic network.

What to expect

• Writing a dissertation: You will be investigating your research topic and spending a third of your working hours on writing your dissertation.
• Teaching & co-supervision: The regular teaching obligation foresees approx. one course per term. In addition, the co-supervision of bachelor and master theses is expected.
• Conferences: Attendance of and presentations at international scientific conferences.
• Organizational tasks: As part of the team, you are also expected to support organizational tasks.

What you have to offer

We are looking for a candidate who meets the following criteria:

• You hold a diploma or master’s degree with strong academic performance in business, economics, computer science, data science, or another marketing-related field that qualifies you for enrollment in a doctoral program at WU.
• You have an excellent command of written and spoken English.
• You bring either experience or an interest in retail-related topics, such as demand modeling, shopping basket analysis, pricing and promotion analytics, personalized recommendations, or channel management.
• You are proficient in at least one statistical programming language (e.g., R, Python, or Julia), and eager to expand your skills as part of your doctoral training.
• You are interested in working with empirical data and open to learning about methods such as automated data collection (e.g., web scraping or APIs), econometric modeling, machine learning/deep learning (e.g., Gradient Boosting, PyTorch) and large-scale data processing (e.g., using SQL databases). Prior experience in any of these areas is a plus, but not a requirement.
• Since the position includes teaching responsibilities, prior teaching experience or involvement in instructional support (e.g., tutoring, grading, assisting in courses) is appreciated.
• Willingness to use multimedia teaching methods: You are prepared 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

Curious? Visit our website and find out more at www.wu.ac.at/benefits

The minimum monthly gross salary amounts to €2,786.10 (14 times per year). This salary may be adjusted based on job-related prior work experience. In addition, we offer a wide range of attractive social benefits.

Do you want to join the WU team?
Then please submit your application by August 20, 2025 (ID 2516).
We are looking forward to hearing from you!