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Postdoctoral Researcher in High-Dimensional Statistics for Networks
hace 2 meses
We are seeking highly motivated postdoctoral researchers to work on a range of topics related to high-dimensional statistics for networks, ultra high-dimensional graphical models, and frameworks linking networks and graphical models.
The positions are part of a Huawei grant, which offers opportunities to explore applications of the developed theory and methods.
The project is hosted by the Statistics group at UPF and the BSE Data Science Center in collaboration with Luc Devroye at McGill University and Piotr Zwiernik at the University of Toronto.
Key responsibilities include developing mathematical statistics and statistical learning theory, data analysis methodology in penalized likelihood and Bayesian statistics, and computational methods.
Successful candidates will have a strong background in statistics, machine learning, and programming skills.
We offer a competitive salary and opportunities for professional growth and development.
Interested candidates should send an updated CV and a short research statement to David Rossell.
Applications will be reviewed on a rolling basis.
We are an equal opportunities employer and welcome applications from diverse candidates.
We are committed to creating an inclusive and supportive work environment.
We look forward to hearing from you.
