Postdocs In High-Dimensional Statistics For Network
hace 4 semanas
We are offering two postdoctoral positions focused on high-dimensional statistics related to networks and graphical models. The research topics include:
- High-dimensional statistics for networks
- Ultra high-dimensional graphical models
- Frameworks linking networks and graphical models
- Multivariate structural learning
- Time series analysis
The positions are initially for 1 year, with a possibility of extension to 18 months. The gross annual salary is 40,000 EUR.
The scope includes mathematical statistics, statistical learning theory, data analysis methodologies in penalized likelihood and Bayesian statistics, and computational methods. These positions are part of a Huawei-funded project, which also offers opportunities to explore practical applications of the developed theories and methods.
The project is hosted by the Statistics group at UPF and the BSE Data Science Center in Barcelona, Spain. Collaborators include Luc Devroye at McGill University in Montreal and Piotr Zwiernik at the University of Toronto. The primary supervisors are Christian Brownlees, Luc Devroye, Gábor Lugosi, David Rossell, and Piotr Zwiernik, with potential collaboration with other faculty members.
Interested candidates should submit an updated CV and a brief research statement to David Rossell. Applicants should also request three referees to send letters of recommendation on their behalf.
The application deadlines are April 30, 2022, for the first position and June 15, 2022, for the second position.
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