Description

Applications are invited for the position of Postdoctoral Researcher at the Institute of Mathematics of the Ecole Polytechnique Fédérale
de Lausanne (EPFL).

The position will be in the Chair of Mathematical Statistics, mentored by 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.

Requirements

Candidates should hold a PhD in Statistics, Mathematics, or a related field by the starting date. Knowledge of French is not a requirement, but would be helpful.

To apply, please submit the following material:

CV (including the names and addresses of three referees)
List of publications.
Research statement.
One reprint/preprint.

Applications submitted by November 15th are guaranteed consideration. Short-listed candidates may be invited for an interview.

All files should be sent as attachments in PDF format to the Chair’s secretary:

Maroussia Schaffner Portillo: maroussia.schaffnerportillo@epfl.ch

including a brief cover letter in the main body of the email and subject: “Application for Postdoc / Last name”.

Candidates should ask their three referees to send their letters directly to the same email address.