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Data Science position at Computational Intelligence Group

Anuncio. Enviado por decanato válido desde 07/09/2021 hasta 07/10/2021 (caducado)

Requirements: Degree in Computer Science/Engineering, Mathematics or 
equivalent degrees. Pursuing Master in Artificial Intelligence or Data 
Science would be an advantage. Theoretical and practical knowledge of 
Bayesian Networks and Machine Learning are valued, as well as 
proficiency in English and strong R/Python programming skills.

Description of Work: The chosen candidates will work at Computational 
Intelligence Group (http://cig.fi.upm.es/) at the School of Computer 
Science of the Technical University in Madrid, Spain. The main 
objective of the work is the research, development and innovation in 
learning Bayesian Networks from data arising from complex 
spatio-temporal networks. In particular, contributing in algorithms 
for score-based spatio-temporal causal discovery, both in 
stationary/nonstationary and nonlinear domains, is expected. Moreover, 
the models will be applied to cutting-edge problems in climate domains 
from data on a big scale.

The work is funded by Fundación BBVA, project granted in the 2019 Call 
to Research Groups on the topic of Big Data.

Duration of contract: 7 months. From October 1, 2021 to April 30, 2022

Salary (gross): up to €2000 per month (37,5 hours/week).

Application deadline: september 17, 2021

Contact: Interested candidates should send their CV to Concha Bielza 
(mcbielza@fi.upm.es) and Pedro Larrañaga (pedro.larranaga@fi.upm.es).