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De: Aurélien Decelle <[log in para visualizar]>
Date: lun, 26 abr 2021 a las 14:45
Subject: PostDoc position in statistical physics
A postdoctoral position (for one year renewable up to 3 years) will be
available in our group at the Universidad Complutense of Madrid (Dept. of
Theoretical Physics) to work at the frontier between statistical mechanics
and machine learning.
The candidate will work on both computational and theoretical aspects of
generative models that are of interest for both statistical physicists and
computer scientists. The project aims to characterize both equilibrium and
non-equilibrium aspects of the Restricted Boltzmann Machine, the eventual
learning dynamics and to improve the learning process. The successful
candidate will have to develop numerical methods through GPU libraries on
python and to investigate analytically the learning behavior and the phase
diagram of the RBM.
The candidate must have a PhD in physics, mathematics or computer science
and a strong experience amongst one of the following fields: statistical
mechanics, machine learning, spin glasses. Programming, mathematical
modeling and data-analysis skills are required.
Collaboration and integration within the research group will be encouraged.
Applications are welcome until the position is filled, but priority will be
given for applications sent before the 20th of May 2021. This position is
expected to start around the last semester of 2021 (beginning of September
at the soonest).
Potential candidates should send a CV, a letter presenting his motivation
and contact for two possible reference letters.
For further information or submissions, please contact Aurélien Decelle,
[log in para visualizar]
Beatriz Seoane Bartolomé
Departamento de Física Teórica,
Universidad Complutense de Madrid,
Plaza de Ciencias, 1,