Phd - Forecasting Latencies in Mobile Networks with - Lannion, France - Orange

Orange
Orange
Entreprise vérifiée
Lannion, France

il y a 2 semaines

Sophie Dupont

Posté par:

Sophie Dupont

beBee Recruiter


Description

About the role:

Global context and problem statement

Your PhD project will tackle the Forecasting of latencies in cellular networks with Machine Learning.

Machine Learning technics provides the opportunity to accurately forecast the latency of cellular communications, in time and space.


Your PhD project, relying on Machine Learning and Artificial Intelligence, will leverage these data to establish how to best forecast the latency of cellular communications.

Scientific objective - obstacles and expected results


The scientific objective of this PhD project is to design and assess latency forecasting models applicable to various traffic types (sporadic, high bitrate ) in a variety of network conditions (load, radio configuration ) and for a diversity of usages (mobility, user device ), using the available sources of data.


The main challenge to address are:
The forecastability of end-to-end latency, depending on the time horizon,
Data acquisition and pre-processing, and the design of a unified end-to-end latency forecasting model capable of working with various traffic types, network and usage conditions


About you:

Expected Skills (scientific, technical and personal)

A good knowledge of mobile networks,
Methodological competencies in Machine Learning
Proficiency in Python or R programming languages

Educational background and diploma (master of science, engineering degree, scientific and technical domains)

Ideally a double specialty in Data Science and Networks, validated by and engineering degree or a master of science.

Work experience (traineeship,)

Ideally a previous traineeship involving Machine Learning or Networks


Additional information:


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.


Contract:

Thesis

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