The University of St. Gallen invites applications for a fully funded
PhD position
in
Econometrics / Machine Learning
within the SNF-funded project
"Convex Q-Learning: Optimal Policy Learning under Distribution Shifts"
, led by Prof. Dr. Tobias Sutter.
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
The Chair of Prof. Dr. Tobias Sutter is part of the Swiss Institute for Empirical Economic Research (SEW-HSG) at the University of St.Gallen.
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.
We are looking forward to your online-application stating the
job ID
2614
apply here
Inspirational Work Environment
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Executive Education
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Network
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Family & Career
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Equal Opportunities
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Fit and Healthy
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Further information on working at the HSG can be found here.
For job-related questions
------------------------------
Prof. Dr. Tobias Sutter
Dr. Mirela Keuschnig
Your place of work
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University of St.Gallen
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A place where knowledge is created - As one of Europe's leading universities of economics and business administration, the University of St.Gallen (HSG), Switzerland, is committed to the education of over 10'000 students. The HSG is one of the largest employers in the region and provides an attractive and innovative environment for more than 3'500 researchers, educators and professional staff.
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