PhD Position in Econometrics / Machine Learning
Role details
Job location
Tech stack
Job description
We support internal and external executive education opportunities. Our internal executive education programme offers you a practical, dedicated and didactically mature transfer of knowledge in the form of seminars, e-learning, coaching and collegial advice. We support task-specific external training and executive education financially as well as with regard to the time required.
Network
We promote our culture of cross-functional collaboration and create space for forging valuable relationships - also with external partners. Regular exchanges and internal events help to strengthen these relationships and make them long-lasting.
Family & Career
We provide our employees with flexible work time models with a variable number of hours per week. As a family-friendly employer, we offer part-time positions, 16 weeks of maternity leave and a subsidised crèche, as well as support with childcare during the vacations.
Equal Opportunities
The University enables equal opportunities for all employees and students. This applies to degree courses and work, as well as academic careers, university management positions and the reconciliation of studies, work and private commitments. We are committed to this with various measures in the areas of teaching, research, administration and the Presidency.
Fit and Healthy
We help you stay fit and healthy. In addition to our diverse range of sports activities at the university, most of which are free of charge, and campaign weeks for corporate health management, we also offer you fruit in the workplace. In our canteen you will find a wide selection of freshly prepared meals - from vegetarian to fish dishes - at discounted prices. Associate Professor for Econometrics
Our group explores how data and algorithms can drive better decisions under uncertainty - blending ideas from reinforcement learning, optimal control, and stochastic optimization to build robust and Dr. Mirela Keuschnigg Executive Director Ph.D. Programmes GPEF & DIA
I am happy to answer any questions you may have about the Graduate Programme in Economics and Finance (GPEF).
Requirements
- Excellent Master's degree in Econometrics, Statistics, Mathematics, Computer Science, or a related quantitative field
- Strong analytical and programming skills (e.g., Python, R, Julia)
- Interest in decision making under uncertainty, reinforcement learning, optimization, and/or statistical theory
Benefits & conditions
50 - 100 % (Flexible starting date, earliest 01.01.2026 - runtime for 4 years)