Postdoctoral position in machine learning, INRIA - Ecole Normale Superieure
Applications are invited for several 1-year or 2-year postdoctoral positions within the joint INRIA/CNRS/Ecole Normale Superieure computer science laboratory in downtown Paris, working with Francis Bach. The position is funded by the European Research Council and is part of the SIERRA project on sparse methods for machine learning. The goals of this project are to explore sparse structured methods for machine learning, with applications in computer vision and audio processing. The project is expected to make contributions to all aspects of machine learning, from learning theory to convex optimization (see relevant publications at http://www.di.ens.fr/~fbach/sierra/). Therefore candidates with diverse backgrounds are expected. The Sierra project is carried out within the INRIA Willow project-team and the postdoc will have the opportunity to interact with the rest of the team, which has a diverse and interdisciplinary expertise in machine learning and computer vision (see http://www.di.ens.fr/willow/). Candidates must have a PhD in machine learning or related field, with expertise in at least two of the following areas: sparse methods, kernel methods, convex optimization, computer vision, audio processing, signal processing. Candidates should send a detailed CV, a statement of research interests, and the names and full contact details (including e-mail addresses) of at least two referees to Francis Bach (francis.b...@ens.fr). _______________________________________________ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai
