Job Description

Mission

The research group of Professor Xue-Mei Li at EPFL (Lausanne, Switzerland) invites applications for one or more on-site postdoctoral positions in the general field of stochastic analysis and probability, including but not limited to:


stochastic differential equations (SDEs); stochastic partial differential equations (SPDEs); stochastic processes on manifolds; multi-scale stochastic dynamics; fluctuations and limit theorems.

Main duties and responsibilities

Conduct and collaborate on research projects contribute to all departmental and group activities.

The precise research topic(s) will be discussed with the successful candidate, depending on their background and interests.

Profile

PhD in Mathematics (to be completed by the start of the position) Strong research record in stochastic analysis, probability theory, or closely related areas A strong background in stochastic analysis and probability theory Proficiency in English. Knowledge of French is not required.

We offer

An excellent research environment in one of Europe's leading institutions for mathematics and engineering, set in a beautiful lakeside and alpine setting Opportunity to collaborate and interact with a dynamic group of researchers in a stimulating environment A very competitive salary and a comprehensive employment conditions Supportive mentorship and a vibrant, international academic community.

Application materials

Only applications submitted through the online platform are considered. You are asked to supply:

In one SINGLE PDF (

with subject:

LAST NAME_FIRST NAME_STOAN Postdoc)

A motivation letter (up to 2 pages) A curriculum vitae including a full list of publications; A research statement (up to 3 pages); Three reference letters to be sent directly by the referees to bernadette.brun@epfl.ch with the subject line:

LAST NAME_

Reference letter STOAN Postdoc.

Additional information

Start date:

September 2026 or earlier (flexible)

Activity rate:

100%

Contract type:

Fixed-term (CDD)

Duration:

Initial contract of 1 year, renewable. The typical duration is two years, with a maximum of four years *

Deadline:

15 December 2025