The Grupo de Aprendizaje Automático/Machine Learning Group at the Departamento de Ingeniería Informática of the Universidad Autónoma de Madrid (http://arantxa.ii.uam.es/~gaa/ ) offers a postdoctoral position to work on acceleration methods for iterative model learning and their application as well as of other complementary Machine Learning approaches to achieve better predictions in renewable energy.
Candidates should have a recent, machine learning-related PhD in computer science or nearby areas, a solid research record and good programming abilities in Python and C/C++, being familiar with the main Python libraries for scientific computation and Machine Learning such as numpy, scipy, pandas, scikit—learn and others.
The position’s duration will be 18 months starting in principle on April 1st, 2017 and is funded through the project FACIL--Ayudas Fundación BBVA a Equipos de Investigación Científica 2016. Applicants should send a CV and a statement of research interests to jose.dorronsoro AT uam.es. This call will be open and applications reviewed until the position is filled.