- Modeling a complex system with feedback loops.
- Analytical resolution whenever possible.
- Building a dynamic model and solving it using optimal control methods.
- Constructing a game model that considers multiple decision-makers and identifying equilibria.
- Strong expertise in mathematics
- Competence in applied mathematics, particularly in the following Artificial Intelligence areas: Operations Research, Optimal control, Game Theory,
- Knowledge of circular economy is a plus,
- Proficiency in programming (Python),
- Good level in English is necessary,
- The candidate must demonstrate good autonomy, curiosity, and strong initiative.
- Engineering degree or Master's degree in Applied Mathematics and Decisional Computer Science.
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PhD "Mathematical modeling of circular economy, applied to mobile lifecycle" - Châtillon, France - Orange Business Services
Description
about the role
Your role is to carry out a PhD on "Mathematical modeling of circular economy, applied to mobile lifecycle"
Global context and problem of the subject
Reconditioning and recycling are drivers of ecological transition and new economic models. Recent regulatory changes encourage actors, including Orange, to increase the proportion of reconditioned products in their offerings. However, theoretical results show that the combination of a perfect circular economy (the model assumes, among other things, the resale of a device for material recovery and production of new devices without additional exploitation of natural resources) and technological progress could have indirect negative effects, despite the beneficial effects of each of these actions. In general, it is relevant to consider how to design this system to be as virtuous as possible. The objective of this thesis is to understand and quantify these phenomena.
Scientific objective - results and challenges to be overcome
The objective of the thesis is to provide methodological tools for mathematical modeling (theoretical results and algorithmic modules) to facilitate the implementation of the circular economy in a broad sense, with a focus on the mobile industry. The aim is to identify actions that can minimize the environmental footprint of this market. Currently, there is limited quantitative research conducted on this subject.
The main challenges to address are:
about you
Skills (scientific and technical) and personal qualities required for the position:
Required Education (Master's degree, engineering degree, PhD, scientific and technical ):
additional information
Within the Networks department of Orange Innovation, you will be part of a dynamic and multidisciplinary environment consisting of experts and researchers in applied mathematics (Operations Research, Artificial Intelligence, Game Theory), network (radio technologies), and energy domains (technical environment).
You will contribute to providing mathematical and algorithmic tools based on state-of-the-art mathematical methods to address a key strategic issue for the Orange group.
You will work on a crucial topic in today's world and strive to make these markets as environmentally virtuous as possible.
You will have the opportunity to showcase your research through scientific communications in conferences or international journals, as well as internally within the Orange Group, with possible interactions with those responsible for analyzing real auctions in France or other subsidiaries internationally.
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 the 'Innovation in Radio and Environment' (IREN) department of Orange Innovation, you will be integrated into the 'Modelling and Statistical Analysis' (MSA) team, which brings together experts in mathematical modeling, decision support, and data science. You will be part of a research ecosystem that combines theoretical work with practical implementation of the concepts studied.
contract
Thesis
