Project Staff Member
vor 2 Wochen
Vienna University of Economics and Business
- Research, development, teaching
- Part time
- published till: 2025-04-02
- Do you want to participate in Austria's largest joint project on the fundamentals of Artificial Intelligence and contribute to WU Vienna’s vision of boosting AI? Do you want to understand how things are connected and make a fundamental impact? We are seeking highly motivated and talented individuals to join the **Institute for Retailing and Data Science** (Prof. Nils Wlömert) and the **Institute for Statistics and Mathematics** (Prof. Kurt Hornik) 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 and the Institute for Statistics and Mathematics**
Part-time, 30 hours/week
Starting June 01, 2025, and ending after 4 years
- The vision of Bilateral AI is to educate a new generation of top-quality AI scientists with a holistic view of symbolic and sub-symbolic AI methods. Training and mentoring young researchers is a central activity combining groundbreaking research work with an education program. The training will be distributed over the six participating institutions.
What to expect
**Research area**:
- (iii) Creating explainable AI methods to make AI-driven decisions, such as those of recommender systems and targeting algorithms, more transparent and understandable for consumers.
- (iv) Developing novel methods for causal inference with text-based treatments,
leveraging natural language processing and causal representation learning
techniques. Applications will focus on impact evaluation in recommender systems
and retail management, providing insights into how textual content influences
consumer behavior.
What you have to offer
- Machine learning and data science
- Embedding techniques and neural networks
- Quantitative marketing, econometrics, or applied statistics
- Causal inference and explainable AI
- Recommender systems or other relevant areas of marketing analytics
- Knowledge representation and reasoning
- Graph theory, knowledge graphs, or decision support systems
- Multimodal content generation
- Applicants are expected to have strong programming skills, particularly in Python, R, SQL, Java, or C++, and proficiency with semi-structured data formats (e.g., JSON) and domain-specific query languages (e.g., graph query language).
**Position Requirements**:
- 1. Letter of motivation (detailing previous research achievements, research goals, career plans);
- 2. A complete CV, including a list of previous scientific expertise, awards, grants, stays abroad, attended lectures, attended summer schools, attended workshops, skills, and publications (if applicable);
- 3. Abstract in English of the applicant’s MSc thesis, BSc thesis, or of a research project;
- 4. A complete list of completed studies and transcripts of all grades;
- 5. Two academic recommendation letters;
- 6. Proof of proficiency in English (usually TOEFL/IELTS/CAE).
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.
**Do you want to join the WU team?**
We are looking forward to hearing from you
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