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Teaching and Research Associate(m/w/x)

Wirtschaftsuniversität Wien Jobportal
Wien
ab 2.786 / Monat

You conduct research and teach, balancing dissertation writing with course instruction and thesis supervision, while also participating in conferences and supporting organizational initiatives.

Anforderungen

  • •Diploma or master's degree required
  • •Excellent command of English
  • •Experience or interest in retail topics
  • •Proficient in statistical programming language
  • •Interest in empirical data methods
  • •Prior teaching experience appreciated
  • •Willingness to use multimedia teaching

Deine Aufgaben

  • •Investigate research topics for dissertation.
  • •Spend one-third of time writing dissertation.
  • •Teach one course per term.
  • •Co-supervise bachelor and master theses.
  • •Attend and present at international conferences.
  • •Support team with organizational tasks.

Deine Vorteile

Inspiring campus life
Modern campus architecture
Excellent public transportation access
Meaningful work environment
Flexible working hours
Wide range of benefits

Original Beschreibung

# Teaching and Research Associate * Vienna University of Economics and Business * Research, development, teaching * Part time * published till: 2025-08-20 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 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.
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