The Grupo de Aprendizaje Automático/Machine Learning Group at the Departamento de Universidad Autónoma de Madrid (http://arantxa.ii.uam.es/~gaa/) offers a postdoctoral position to work on acceleration methods for iterative model learning and the application of these methods as well as 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 related areas, have good programming abilities in Python and C/C++, and be familiar with the scikit—learn libraries for Machine Learning. The position’s duration will be 18 months starting 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 firstname.lastname@example.org. This call will be open and applications reviewed until the position is filled.