زندگی در فرانسه

دوره دکترا در زمینه تئوری بازی و یادگیری ماشین در نزدیکیهای پاریس در فرانسه شروع پائیز ۲۰۱۶.  OPEN PHD POSITION AT BELL LABS FRANCE / EURECOM IN MACHINE LEARNING / GAME THEORY The Mathematics of Complex and Dynamic Networks Department of Alcatel-Lucent Bell Labs France and the Data Science Department of EURECOM invite applications for a fully funded PhD position on "Learning in Blotto games and applications to modeling attention in social networks." The PhD will be co-supervised by Dr. Alonso Silva ( https://www.bell-labs.com/usr/alonso.silva ) and Prof. Patrick Loiseau ( http://www.eurecom.fr/~loiseau ). A complete description of the position is available at http://www.eurecom.fr/~loiseau/PhdProposition-Alcatel-EURECOM-2.pdf . The PhD topic is at the intersection of machine learning and game theory, with application to modeling social networks. Candidates should have a strong background in mathematics (probability and preferably learning or game theory or both...

Learning with non-stationary data - application to collaborative filtering and link prediction between name entities in knowledge bases like freebase Subject: The continuous production of tremendous amount of data upsets the traditional view in science and information technology, particularly in machine learning (ML). These data evolve generally over time and, do not follow the fundamental hypothesis of stationarity upon which the learning theory is based. This is for example the case in collaborative filtering where the  goal  is to generate personalized recommendations for each user. Recommender systems filter out a potentially huge set of items, and extract a subset of N items that best matches user's needs with respect to other users preferences (observed) over existing items and who may have the same tastes than the latter. In this case, user preferences generally evolve over time ; as the perception of different items as well as their popularity are completely t...

INRIA - Lille - France Efficient Sequential Learning in Structured and Constrained Environments, SequeL team, INRIA, Lille, France (PhD position) Keywords:   multi-arm bandit, stochastic optimization, reinforcement learning, apprenticeship learning, learning on graphs, transfer learning This Ph.D. program is focused on the problem of sequential learning in structured and constrained environments. The key aspect of this problem is that relatively little knowledge of the environment is available beforehand, and the learner (a virtual or physical agent) has to sequentially interact with environment to learn its  structure  and then act optimally. This problem encompasses a wide range of applications depending on the definition of the structure of the environment, the  sequential nature of the interaction  between learner and environment, and the type of  constraints . In particular, this Ph.D. program will be driven by two application domains of ...

In-vivo Clinical Imaging Center – Lille – France Postdoctoral Fellowship in machine learning applied to multimodal MRI data A postdoctoral position on machine learning with application to neuroimage-based brain disease diagnosis and prediction is available at In-vivo Clinical Imaging center, University Hospital of Lille, France (Pr. Xavier Leclerc). Our international and multidisciplinary group conducts basic research in neuroscience at the interface to clinical applications. We focus on neurodegenerative diseases, epilepsy and schizophrenia. This position will be funded by a national project about the post-stroke dementia. If the risk of dementia occurrence after stroke is well known, few data exist about the factors influencing positively or negatively the development of cognitive disorders or dementia. The aim of the study is so to determine prospectively the magnetic resonance imaging (MRI) factors associated with post-stroke dementia by the long-term follow-up of a stroke pat...