Postdoc in Stochastic Processes

Ecole Polytechnique Federale de Lausanne (EPFL)

Switzerland

November 7, 2021

Description

EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than 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 more than 16,000 people, including over 12,000 students and 4,000 researchers from more than 120 different countries.

Postdoc in Stochastic Processes

Your mission : Research Group: The Statistical Data Science group researches data science with a particular focus on networks, non-Euclidean and multimodal data. Despite the ubiquity of networks much is still not known about the analysis of non-Euclidean observations. The group seeks to address this gap, and looks at applications in Ecology and neuroscience of such methods.

Main duties and responsibilities include : The Statistical Data Science chair advertises a post in one of two topics:

1) High dimensional point processes. High dimensional data methods have been developed for non-parametric regression and random Gaussian vectors. Gradually methods were extended to time series, but understanding is slowly making its way to point processes. The SDS group has developed early work in this topic and additional work extends this to fully non-parametric understanding.

2) Graph limits for non-parametric network analysis. Graph limits have become a staple in modelling large networks. Considerable focus has been expanded in estimating non-parametric representations of the generating mechanism of a network. More recent work has explored the consequences of smoothness assumptions or model-misspecification and alternatives to a model- specification based on Aldous—Hoover theorem.

The candidate should have experience in high dimensional statistics or probability, and either point processes or graph limits.

Your profile : We are looking for a recent graduate of with a PhD in Mathematics or a related area. Candidates should have experience of point processes or graph limits and must have a strong desire and proven ability to invent, build and publish their work. A strong publication record either in mathematics or statistical theory and methodology is key.

We offer : Salary and social benefits are extremely competitve. For inquiries regarding the research aspects of the position, contact Prof. Sofia Olhede.

Start date : February 1st, 2022

Term of employment : Fixed-term (CDD)

Work rate : 100%

Duration : 1 year, renewable

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 2039

apply online

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