Xin chào các anh chị và các bạn, Dưới đây là một vị trí tenured dành cho người quan tâm đến Data Mining & Machine Learning trên BigData. ------------------------------------------------------------------------------ EURECOM is a French graduate school and a research center in communication systems based in the international science park of Sophia Antipolis, which brings together renowned universities such as Télécom ParisTech, Aalto University (Helsinki), Politecnico di Torino, Technische Universität München (TUM), Norwegian University of Science and Technology (NTNU), Vietnam National University Ho Chi Minh Ville (VNU) and Chalmers University (Sweden). The Principality of Monaco is a new institutional member. EURECOM benefits from a strong interaction with the industry through its specific administrative structure: Economic Interest Group (kind of consortium), which brings together international companies su ch as: Swisscom, SFR, Orange, ST Microelectronics, BMW Group Research & Technology, Symantec, Monaco Telecom, SAP, IABG. ------------------------------------------------------------------------------ The new faculty is expected to join the distributed systems group of the department and to extend the group’s current activities in the area of Big Data and Cloud computing, by developing research lines in both fundamental and applied machine learning, and by joining forces towards the design of computationally efficient and scalable approaches to real-life statistical learning problems. Candidates with a proven track record of research in the following areas are particularly encouraged to apply: • Data Mining and Modeling, • Statistical Inference and Machine Learning, • Information Retrieval. While targeting practical application scenarios in his/her research, the new faculty is also expected to carry out fundamental research and to develop new Master and Ph.D. level courses in the aforementioned domains. ------------------------------------------------------------------------------ eurecom.fr/…/files/jobs/mdcdse2014_webEUR_eng.pdf
Posted on: Wed, 19 Nov 2014 15:44:47 +0000
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