A postdoctoral position in Statistical Mechanics/Machine Learning/Ecology the Physics Departement of the Ecole Normale Superieure in the teams of S. Cocco and R. Monasson and D.Amor
We are looking for a post-doc candidate at the crossroad of statistical physics, machine learning, and biology, interested in the theoretical and applied aspect of data-driven modeling. Thanks to recent progress , machine learning can be used to establish models of complex systems, which remain out of reach with standard first-principle methods. The goal of the post doctoral project will be two-fold:
Develop unsupervised machine learning tools for consumer-resource models in ecology.
Apply these methods to model from experimental data the evolution of bacterial populations in micro-communities experimentally investigated by culturing them in the lab.
The post-doc will be located in the Department of Physics at the Ecole Normale Superieure in Paris, under the supervision of S. Cocco and D. Amor The duration of the position is of one year, extensible to two years. Post-doc candidates are expected to have solid knowledge in statistical physics, inference methods and data analysis, and both analytical and computer programming skills. Moreover he/she should have a deep interest and possibly a previous experience in computational biology and/or bioinformatics.
References to published papers.