The
Ecole Polytechnique Fédérale de Lausanne (EPFL)is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs 6,000 people supporting the three main missions of the institutions: education, research and innovation. The EPFL campus offers an exceptional working environment at the heart of a community of 16,000 people, including over 10,000 students and 3,500 researchers from 120 different countries.
Your mission :
An on-site, postdoc position is available at EPFL (Lausanne, Switzerland) in the group of Xue-Mei Li
Main duties and responsibilities include :
You will be working and collaborating on research projects in the field of Stochastic Analysis, focusing on stochastic differential equations, stochastic partial differential equations, stochastic dynamics, limit theorems, fluctuations, and multi-scale analysis.
Candidates will be expected to actively contribute to all departmental and group activities.
Your profile :
Applicants must have:
- a PhD in mathematics
- a strong research record
- a background in stochastic analysis, probability theory, Differential equations, and PDE theory;
- proficiency in English is required.
We offer :
- A stimulating work environment for cutting edge research.
- Opportunity to interact with a dynamic group of world leading researchers in the field.
- Opportunity to supervise student projects.
- A very competitive salary.
Start date and submission :
Starting date is 01/09/2024. However there is flexibility.
Applicants should submit :
- A brief cover / motivation letter (pdf, up to 2 pages),
- A curriculum vitae including a full list of publications,
- A research statement (pdf, up to 3 pages),
- Three reference letters
Submission deadline : 29.01.2024
Term of employment :
Fixed-term (CDD)
Work rate :
100%
Contact :
Applicants are strongly encouraged to submit applications directly here. It is also possible to submit your application directly to Prof. Xue-Mei Li : [email protected]
Remark :
Only candidates who applied through EPFL website or our partner Jobup’s website will be considered. Files sent by agencies without a mandate will not be taken into account.
Reference :
Job Nb 3230
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