Postdoctoral Researcher in High-Dimensional Statistics for Network Analysis
hace 2 semanas
Postdoctoral Researcher in High-Dimensional Statistics for Network Analysis
We are seeking a highly motivated postdoctoral researcher to join our team at the Universidad Paulo Freire in Barcelona, Spain. The successful candidate will 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 project is hosted by the Statistics group at UPF and the BSE Data Science Center, and is in collaboration with Luc Devroye at McGill University and Piotr Zwiernik at the University of Toronto. The primary supervisors are Christian Brownlees, Luc Devroye, Gábor Lugosi, David Rossell, and Piotr Zwiernik.
The postdoctoral researcher will have the opportunity to work on sub-projects related to mathematical statistics and statistical learning theory, data analysis methodology in penalized likelihood and Bayesian statistics, and computational methods. The grant also offers opportunities to explore applications of the developed theory and methods.
To be considered for this position, candidates should have a strong background in statistics and machine learning, and a proven track record of research experience. They should also be able to work independently and as part of a team.
Interested candidates should send an updated CV and a short research statement to David Rossell. They should also ask 3 referees to send a letter of reference on their behalf.
Requirements:
- PhD in Statistics or a related field
- Strong background in machine learning and statistical theory
- Proven research experience
- Ability to work independently and as part of a team
What we offer:
- A competitive salary and benefits package
- The opportunity to work on a range of exciting projects
- Access to state-of-the-art research facilities
- Collaboration with a team of experienced researchers
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