Senior Research Scientist on ML

When:
31/12/2016 – 01/01/2017 all-day
2016-12-31T01:00:00+01:00
2017-01-01T01:00:00+01:00

Annonce en lien avec l’Action/le Réseau : aucun

Laboratoire/Entreprise : Mathematical and Algorithmic Sciences Lab France Research Center, Huawei Technologies Co. Ltd.
Durée : CDI
Contact : jeremie.leguay@huawei.com
Date limite de publication : 2016-12-31

Contexte :
The Network and Traffic Optimization research team of the Mathematical and Algorithmic Sciences Lab, Huawei France Research Center, located in the Paris area, is looking for candidates for a permanent research position on Machine Learning to commence by the end of the year. The research will focus on developing algorithms and novel network analysis schemes to drive research and innovation in the context of advanced traffic engineering. The successful candidate will be involved in the development of competitive solutions Intelligent Network Management systems.

Sujet :
Major Responsibilities:
– Lead research and innovation in machine learning to improve data center networks performance and decrease the cost of operation.
– Identify future business and technologies requirements in machine learning and networking, especially, use the artificial intelligence in network. Collaborate with other units to ensure the successful exploitation of research outputs.
– Responsible for theory exploration, advanced algorithm design, analysis, and performance evaluation to meet challenging business requirements.
– Generation of intellectual property through the patenting of ideas.
– Responsible for the quality of project deliveries
– Disseminate research outputs in major research and industry events worldwide.
– Create and maintain strong collaborations with academia, industry and research agencies.
– Contribute to the creative and innovative atmosphere in Huawei Research Labs.

Profil du candidat :
PhD Degree in Applied Mathematics or Computer Science

Experience: 10+ years English: Operational

Candidates must have a strong background in Statistical Learning in the context of Machine Learning and experience in system design, algorithm development, and simulation of networked systems.

Formation et compétences requises :
The following skills and experiences are highly desirable:
– Solid background on machine learning and data center networking
– Good knowledge of standard statistical learning tools (e.g., regression methods, kernel methods, artificial neural networks, reinforcement learning).
– Good knowledge of standard stochastic optimization paradigms (MDPs, dynamic programming) and sequential learning algorithms (multi-armed bandits)
– Good Knowledge of network architectures, data center architectures and protocols Proficiency with machine learning tools (R, Sage, SciPy, Matlab)
– Practical experience with big analytics tools (Hadoop, Spark, Storm, Flink) will be a plus
– Familiarity with low-level development languages (C/C++) will be a plus.
– Solid publication record in machine learning applied to networking problems

Adresse d’emploi :
20 Quai du Point du Jour
92100 Boulogne-Billancourt

Document attaché : senior-research-scientist-on-applied-machine-learning-statistical-learning.pdf