Postdoc: High-Dimensional Data Methods & Algorithms

The International Society for Bayesian Analysis; Barcelona; Presencial; EUR 31.500 - 38.500; Jornada completa

Descripción de la vacante

A leading academic institution in Barcelona is seeking two postdoctoral researchers for a one-year project focused on high-dimensional data methods and algorithms. The successful candidates will work on statistical learning, Bayesian statistics, and deep learning topics. A competitive gross yearly salary of 35,000 EUR is offered, with collaborative opportunities within the university and its research centers.

Formación

• Strong background in high-dimensional data methods.
• Experience in statistical learning techniques.
• Familiarity with Bayesian statistics and neural networks.

Responsabilidades

• Conduct research on high-dimensional data methods.
• Collaborate with supervisors and other researchers.
• Prepare reports and research papers based on findings.

Conocimientos

High-dimensional statistics

Statistical learning

Deep learning

Stochastic gradient descent

Change-point detection

Educación

PhD in Statistics or related field

Descripción del empleo

Postdoc in High-dimensional data methods & algorithms at Universitat Pompeu Fabra, Barcelona

Aug 22, 2022

We are looking for two postdoctoral researchers to work on various topics related to the analysis of complex high-dimensional data. Topics of interest include but are not limited to new directions in high-dimensional statistics, statistical learning for non i.i.d. data, change-point detection, deep learning, and stochastic gradient descent. The positions are for one year, with a gross yearly salary of 35,000 eur.

The scope is ample and allows for sub-projects related to mathematical statistics and statistical learning theory, Bayesian statistics, theory of neural networks, and Malliavin calculus. The primary supervisors are Eulalia Nualart and Lorenzo Cappello. Collaborations with Christian Brownlees, Gábor Lugosi, David Rossell, Piotr Zwiernik, and other professors of the Statistics group at UPF (https://sites.google.com/view/stats-upf ) and the BSE Data Science Center (https://datascience.bse.eu ) are possible.

Interested candidates should send an updated CV and a short research statement to Lorenzo Cappello ([e-mail]). They should ask three referees to send a letter of reference on their behalf.

The deadline for the applications is October 31st, 2022.