Thèse Cifre Data scientist H/F
Saint Priest, FR, 69800
Transport is at the core of modern society. Imagine using your expertise to shape sustainable transport and infrastructure solutions for the future? If you seek to make a difference on a global scale, working with next-gen technologies and the sharpest collaborative teams, then we could be a perfect match.
What you will do
General context
In the context of climate change and natural resources scarcity, transport and logistics service providers must adapt to new requirements while ensuring the sustainability of their activities. This involves optimizing their fleets of freight transport vehicles, not only from an economic perspective (reduction of total cost of ownership - TCO) but also environmentally, with the reduction of energy consumption, the decrease in CO2 emissions, and the limitation of the impact of equipment on the depletion of natural resources.
Modern fleet optimization approaches include advanced modelling and simulation methodologies that integrate both operational constraints and sustainability objectives. Furthermore, the transition to electromobility and the digitization of transport systems open new perspectives for designing efficient and more environmentally friendly transport solutions.
Thesis objectives
The main objective of the doctoral thesis is to provide one or more decision support tools based on a methodological framework that optimizes the composition and operational management of a road freight transport fleet according to a set of economic and environmental criteria. The aim is to provide robust and universal decision support in relation to the diversity of activity profiles, based on advanced optimization methods adapted to the specificities of different use cases (carrier, carrier activity, access to electric energy, geographical area, or carrier's client).
The first objective is to define the optimal composition of a fleet adapted to a given transport activity, using potential electric vehicle models, and proposing scenarios for adapting the electric charging infrastructure. This optimization is based on the evaluation of four fundamental criteria: total cost of ownership (TCO), energy consumption, avoided CO2 emissions, and the impact of the vehicle life cycle on natural resources (minerals and metals). The combination of these criteria allows the development of fleet management strategies that reconcile economic objectives and environmental sustainability.
The second objective is to question the provided electric vehicle models and propose technical configurations (transportable mass, charging power, battery size, etc.) that further improve the four optimization criteria mentioned above. The consequences on the charging infrastructure need to be clarified (geographical distribution, unit power, impact on the electrical distribution network, etc.).
Your future team
Within a large Vehicle Engineering organization, our small team of app. 70 people has deep knowledge of truck complete systems, features and application.
Within various background, cultures and a rich diversity, we together drive the product evolution overtime, with passion and engagement.
Who are you?
We are looking for an engineering student or a master's student in applied mathematics, computer science, or operations research with a strong interest in applied research, particularly on sustainable logistics optimization topics. The expected skills include:
- Very good foundations in mathematical modeling, operations research, and programming (Python, Julia, or equivalents)
- Knowledge in logistics, energy, or sustainable mobility
- Ability to work independently
- Very good level of written and spoken English
What’s in it for you?
We offer a solid package of compensation and benefits, plus you will enjoya fantastic workplace and caring team which value diversity and welcome new comers.
You will enjoy local network as well as international environment, and be part of a team of true believers in sustainable future.
Ready for the next move?
Come join us for a cup of coffee or a call. We’ll discuss how we can help each other on our journey together. Here are our contact details :
Industrial Supervision: Renault Trucks – Group Trucks Technology - Franck Tirard (franck.tirard@renault-trucks.com) Location: Renault Trucks – Group Trucks Technology, Saint-Priest (69)
We value your data privacy and therefore do not accept applications via mail.
Who we are and what we believe in
We are committed to shaping the future landscape of efficient, safe, and sustainable transport solutions. Fulfilling our mission creates countless career opportunities for talents across the group’s leading brands and entities.
Applying to this job offers you the opportunity to join Volvo Group. Every day, you will be working with some of the sharpest and most creative brains in our field to be able to leave our society in better shape for the next generation. We are passionate about what we do, and we thrive on teamwork. We are almost 100,000 people united around the world by a culture of care, inclusiveness, and empowerment.
Group Trucks Technology are seeking talents to help design sustainable transportation solutions for the future. As part of our team, you’ll help us by engineering exciting next-gen technologies and contribute to projects that determine new, sustainable solutions. Bring your love of developing systems, working collaboratively, and your advanced skills to a place where you can make an impact. Join our design shift that leaves society in good shape for the next generation.