Position1: 18 months PostDoc / Research Engineer Position2: 36 months Ph.D. Expected starting date: September 1st, 2017 Location: Eurecom, Campus SophiaTech, in the French Riviera. Description: A postdoctoral/Ph.D. position is available in the Communication Systems Department at Eurecom. The successful candidate will conduct experimental research in developing and applying machine learning techniques and data analysis in emerging 4G-5G computing applications, especially for the virtualized mobile edge network. Particular focus will be given in data-driven network management and control where the network decisions are made based on user and network predicted performances. We plan to apply the data-driven control on the OpenAirInterface (OAI) software defined radio platform following SDN and NFV principles. Evaluation of mechanisms proposed will done through emulation and real experimentation in a small scale deployment at Eurecom. The successful candidate will work closely together with research engineers and PhD students, in developing/improving strategies for 5G/LTE network performance optimization. Essential experience for the interested applicants: - Hold a PhD/Master degree or equivalent in Computer Science or Computer Engineering or a closely related area - Have understanding of current technology landscape 5G, LTE (Rel 10-14), SDN/MEC/NFV, IoT - Strong Machine Learning, data mining techniques, deep learning knowledge and experience - Capable of managing large data sets and developing statistical models - Solid C and Python programming skills - Demonstrate an excellent level of spoken and written English. Applications should be sent to: Prof. Navid Nikaein, [email protected] and must include the following information: - A curriculum vitae, with full contact information, education, positions and academic work. - A cover letter explaining the candidate's background (relevant publications), qualifications and research interests. - Copies of relevant diplomas / degree certificates, transcripts of records, copies 2-3 recommendation letters. More details for the job description http://www.eurecom.fr/sites/www.eurecom.fr/files/jobs/CS_NN_PhD1_H2020_052017_US_0.pdf http://www.eurecom.fr/sites/www.eurecom.fr/files/jobs/CS_NN_PhD2_H2020_052017_US.pdf http://www.eurecom.fr/sites/www.eurecom.fr/files/jobs/CS_NN_Postdoc_H2020_052017_US.pdf --

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