Applications are invited for a PhD position in Statistics at the Institute of Mathematics of the Ecole Polytechnique Fédérale de Lausanne (EPFL).
The position will be in the Chair of Mathematical Statistics, under the supervision of Prof. Victor Panaretos.
The envisioned research projects fall within the broad theme of statistical analysis for/with random functions, measures, and operators. The overarching goal is not only to extend classical statistical ideas into infinite-dimensional settings, but also to exploit phenomena unique to infinite dimensions, and even translate infinite-dimensional insights back into finite-dimensional methods.
Possible directions include:
- Statistical Optimal Transport and Probability Flows, especially in the Bures–Wasserstein space of covariance operators.
- Functional Data Analysis and Stochastic Dynamics, including nonparametric methods for SDE in function spaces.
- Graphical and Likelihood Methods for random vectors with functional entries, including Gaussian correlation operator theory.
- Nonparametric inference and functional Inverse problems with kernel methods and embeddings.
The position will be available as of September 1st, 2026.
Candidates should preferably hold a degree in mathematics and/or statistics, or in EECS with a solid mathematical background. Knowledge of French is not a requirement, but will be helpful.
The PhD applicants should apply directly through EDMA, mentioning Prof. Victor Panaretos at the appropriate field, for the December 15th deadline.
Short-listed candidates may be invited for an interview.