Postdocs in high-dimensional statistics for network & graphical models analysis, Barcelona

We have two post-doctoral positions to work on a range of topics related to high-dimensional statistics for networks, ultra high-dimensional graphical models, frameworks linking networks and graphical models, multivariate structural learning and time series analysis. The positions are for 1 year, with a potential for extension to 18 months, with a gross yearly salary of 40,000 eur. The scope is ample and allows for sub-projects related to mathematical statistics and statistical learning theory, data analysis methodology in penalized likelihood and Bayesian statistics, and computational methods. The positions are related to a Huawei grant, which also offers opportunities to explore applications of the developed theory & methods.

The project is primarily hosted by the Statistics group at UPF (https://sites.google.com/view/stats-upf) and the BSE Data Science Center (https://datascience.bse.eu) in Barcelona (Spain), and is in collaboration with Luc Devroye at McGill University in Montreal (Canada) and Piotr Zwiernik at the University of Toronto (Canada). The primary supervisors are Christian Brownlees, Luc Devroye, Gábor Lugosi, David Rossell and Piotr Zwiernik, although collaborations with other professors of these research groups are also possible.

Interested candidates should send an updated CV and a short research statement to David Rossell (david.rossell@upf.edu). They should ask 3 referees to send a letter of reference on their behalf.

The deadline for applying for the first position is April 30 2022, the deadline for the second position is June 15 2022.

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