PhD Position in Econometrics / Machine Learning (m/w/d)
PhD Position in Econometrics / Machine Learning (m/w/d)
PhD Position in Econometrics / Machine Learning (m/w/d)
PhD Position in Econometrics / Machine Learning (m/w/d)
Universität St.Gallen
Forschung
St. Gallen
- Art der Beschäftigung: Teilzeit
- 89.000 CHF – 108.500 CHF (von XING geschätzt)
- Vor Ort
PhD Position in Econometrics / Machine Learning (m/w/d)
Über diesen Job
PhD Position in Econometrics / Machine Learning (m/w/d)
Your tasks
The project develops new methods at the interface of econometrics, reinforcement learning, and distributionally robust optimization, focusing on data-driven algorithms for optimal decision-making in dynamic environments. The successful candidate will contribute to both theoretical and computational aspects of the research, including recursive stochastic algorithms and their applications in economics and related fields.
Your profile
- 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
Please submit
- a cover letter (providing details about your motivation for this position, your research interests, and your relevant skill)
- a CV
- your grade transcripts (bachelor and master)
- a piece of written work (e.g. thesis or seminar paper)
Our main activities are scientific research and economic policy advice. The strategic success of our institute lies in conducting intensive basic research, which forms the basis for consulting governments and private organisations.
Inspirational Work Environment
At the HSG, as Europe's leading business university, we operate in an entrepreneurial environment where you will meet highly qualified, ambitious experts - both regionally and internationally. For example, you benefit from a modern IT infrastructure and, in our library via HSGswisscovery, from nationwide access to the wealth of scientific information available.
Executive Education
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
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).
