PhD "Sequential optimization under uncertainty for the negotiation of wholesale markets" M / F

Orange Business Services; Valence-en-Poitou; Sur place; EUR 40 000 - 60 000; Plein temps

Résumé du poste

Une entreprise innovante dans le secteur des télécommunications cherche un doctorant pour mener une recherche sur l'optimisation des négociations commerciales de gros en roaming. Le candidat travaillera au sein d'une équipe de recherche de pointe sur des thématiques d'optimisation, avec des objectifs clairs de modélisation et de performances devant soutenir des décisions stratégiques.

Qualifications

• Recherche sur l'optimisation séquentielle sous incertitude.
• Capacité à modéliser et résoudre des problèmes complexes.
• Connaissances en algorithmes et optimisation souhaitées.

Responsabilités

• Développer des approches d'optimisation pour négocier des accords commerciaux.
• Surmonter les défis liés à la modélisation du processus de négociation.
• Collaborer avec une équipe de recherche sur des problématiques innovantes d'optimisation.

Formation

Master en mathématiques appliquées ou informatique

Description du poste

Your role is to carry out a PhD thesis work on : "Sequential optimization under uncertainty for the negotiation of wholesale roaming commercial agreements"

Global context and problematic of the subject

• Wholesale roaming allows subscribers of a mobile network operator to continue to access their services (voice, SMS, data) when they travel abroad, using the resources from a local operator in the country they are visiting. This gives rise to a remuneration of this local operator by the nominal operator of the roaming subscribers, remuneration which is framed by commercial agreements between the partner operators and which is a function of the total volume of roaming traffic sent over the year. These inter-operator financial flows constitute what is called the wholesale roaming market.
• The financial stakes in the wholesale roaming market are very high : for a global operator, the costs and revenue from inter-operator transfers can reach several billion euros per year.
• Optimizing costs and revenues in the wholesale roaming market is therefore crucial for the Orange Group, and the following question needs to be answered : How can the cost and revenue functions of commercial agreements with partner operators be best negotiated? How can the symmetric nature of a negotiation be best exploited (the costs of the traffic sent and the revenue from the traffic received are negotiated interdependently)?

Scientific objective – results and obstacles to overcome

• The scientific objective of the PhD thesis :

The objective is to develop sequential optimization approaches in the face of uncertainty that make it possible to build a strategy for negotiating wholesale roaming commercial agreements and to clarify the choices of sales representatives in charge of negotiations with roaming partner operators.

The main obstacles / challenges to be overcome :

o Modeling of the negotiation process by sequential optimization in uncertainty + bi-level aspect

o Solving such large problems / scaling up algorithms

• Main expected achievements (apart from publications and drafting of the manuscript) :

o Models for the sequential negotiations problem

o One or more approaches to solve the problem at scale, with, if possible, performance guarantees

o Implementation of approaches

about you

Research Master's degree in applied mathematics / computer science (optimization).

additional information

Providing scientific support for strategic negotiation decisions is both innovative and promising (at the financial level but also in the overall understanding of the market).

In addition, the PhD thesis will take place in a cutting-edge team on optimization issues at a research level, and with possible interactions with people in the negotiation profession at Orange.

department

Orange Innovation brings together the research and innovation activities and expertise of the Group's entities and countries. We work every day to ensure that Orange is recognized as an innovative operator by its customers and we create value for the Group and the Brand in each of our projects. With 720 researchers, thousands of marketers, developers, designers and data analysts, it is the expertise of our 6,000 employees that fuels this ambition every day.

Orange Innovation anticipates technological breakthroughs and supports the Group's countries and entities in making the best technological choices to meet the needs of our consumer and business customers.

Within Innovation, you will be integrated into a research team at the forefront of innovation and optimization expertise. You will be part of a research ecosystem alongside researchers and engineers allowing both theoretical research and the concrete implementation of the concepts studied, benefiting from experimental platforms.

contract

Thesis