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 and neuroscience 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: 5 months. From March 1, 2021 to July 31, 2021
Salary (gross): up to €1000 per month (20 hours/week).
Application deadline: February 15, 2021
Contact: Interested candidates should send their CV to Concha Bielza (mcbielza@fi.upm.es) and Pedro Larrañaga (pedro.larranaga@fi.upm.es).
