The Huawei France Research Center (FRC) in Boulogne-Billancourt, Paris area, France, invite applications for a full-time three-year PhD position in Network Optimization with Nonlinear Performance Models.
Quality of Service (QoS) and routing policies are key to control how bandwidth is shared among different applications in computer networks. They can be tuned to satisfy strict Service Level Agreements (SLA) of applications in terms of end-to-end delay, packet loss, and jitter. They can also be used to meet global objectives in terms of minimizing financial expenses or maximizing the experienced network quality. In this context, conflicting objectives may arise when optimizing routing and QoS policies. This PhD research project will focus on the integration of QoS in the classical multi-commodity flow problem. The QoS can be modeled for instance with nonlinear functions thanks to the network calculus. The primary goal of the project will be to develop a mathematical-optimization tool driven by the QoS requirements. Based on this research direction, some theoretical results will be proposed to strengthen the efficiency of exact methods or to prove the efficiency of derived heuristics. Mathematical-optimization-based exact methods will be based on branch-and-cut and branch-and-cut-and-price algorithms. Some piecewise techniques of nonlinear functions can be applied to provide some bounds. The novelty of the research project is in the integration of nonlinear functions to drive the mathematical optimization for considering the QoS.
The thesis will be mainly at Huawei office near to Paris.
The PhD grant will be funded by Huawei FRC. The PhD candidate will jointly work in the Datacom Lab of Huawei FRC under the supervision of Dr. Sébastien MARTIN and in the Combinatorial Optimization group of LIMOS under the supervision of Pr. Mourad BAÏOU and Dr. Hervé KERIVIN. This work will also be done in collaboration with Pr. Walid BEN-AMEUR from Télécom SudParis. The successful applicant is expected to carry out cutting-edge research on developing scientific results related to the theory and methodology that may be of interest to the mathematical optimization community. A special attention will be given to the publication of the results in top-tier journals (i.e., Mathematical Programming, Operations Research) and telecommunication conferences (e.g., INFOCOM).
The PhD project involves performing scientific research in network optimization for telecommunications. The successful applicant must demonstrate a deep knowledge in solution methods for combinatorial optimization problems as well as strong C/C++ programming skills. Experience with branch-and-cut and/or branch-and-price algorithms would be an asset. Background knowledge on solution methods to handle nonlinear problems is considered a plus. Given the domain of application of the research project, a genuine interest in telecommunication networks is required. A high level of proficiency in spoken and written English is also required.
The PhD position is for three years starting as soon as possible.
Applicants must have completed (or be close to completion of) a master's degree in Operations Research, Computer Science, Mathematics, or a related field. Review of application will continue until the position is filled. Applications must include
1. a cover letter,
2. a curriculum vitae or resume detailing the applicant's educational background and research experience, 3. copies of applicant's undergraduate and graduate transcripts, 4. a copy of applicant's master's thesis, 5. up to three recommendation letters or names and contact information of academic references.
All application material must be submitted electronically in English to Dr. Hervé KERIVIN at herve.kerivin@isima.fr, Pr. Walid BEN-AMEUR at walid.benameur@telecom-sudparis.eu, and Dr. Sébastien MARTIN at sebastien.martin@huawei.com.
If you have any further questions regarding this PhD position, please contact Dr. Hervé KERIVIN at herve.kerivin@isima.fr or Dr. Sébastien MARTIN at sebastien.martin@huawei.com.
Sébastien Martin - PhD
Paris Research Center, Huawei Technologies Co. Ltd
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