Research Scientist in High-Dimensional Statistics for Network Analysis

hace 3 semanas


Barcelona, Barcelona, España Universidad Paulo Freire A tiempo completo

Unlock research opportunities at Universidad Paulo Freire in Barcelona, Spain. We have two post-doctoral positions available to work on high-dimensional statistics for networks and ultra-high-dimensional graphical models analysis.

**Project Overview**

We are seeking highly skilled postdoctoral researchers to contribute to a Huawei-funded project focusing on statistical learning theory, data analysis methodology in penalized likelihood and Bayesian statistics, and computational methods for network and graphical model analysis.

**Key Responsibilities**

As a postdoctoral researcher, you will be part of an interdisciplinary team working closely with professors from the Statistics group at UPF and the BSE Data Science Center in Barcelona. You will contribute to developing innovative statistical methods and frameworks linking networks and graphical models.

**Requirements and Qualifications**

To be considered, you should hold a Ph.D. in a relevant field and have expertise in statistical machine learning, high-dimensional statistics, or related areas. Strong programming skills and experience with collaborative software environments are essential.

**Benefits and Opportunities**

This position offers a unique chance to collaborate with leading researchers from universities in Montreal and Toronto. The gross yearly salary is approximately 40,000 EUR, providing a competitive compensation package.

**How to Apply**

Interested candidates should submit their updated CV and a short research statement to our primary supervisor, David Rossell. They should also arrange for three referees to send letters of recommendation on their behalf.



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