Submission #384

Submission information
Submitted by Anonyme (not verified)
Tue, 02/12/2019 - 09:59
165.225.76.121
Yes
Industry
Internship in modelling and simulations of atmospheric dispersion pollutant
Maths
Internship
VEOLIA
http://www.veolia.com
yannick.deleuze@veolia.com
Maisons Laffitte
France
Location: Maisons-Laffitte (78), France
RER A or transilien from Paris St Lazare
Duration: 6 months starting within February & April 2019

# Resourcing the world

Today, natural resources are becoming increasingly scarce while our needs are growing in an ever more densely populated and urbanised world facing climate change issues. The world has to rethink its relationship with resources and come up with new social and economic growth models that are more efficient, better balanced and more sustainable. With 160 years of expertise in the areas of water, energy and waste, Veolia applies its capacity for innovation to pursuing human progress and well being, and improving the performance of businesses and regions.

To make the switch from a resource consumption rationale to a use-and-recover approach in today’s circular economy, Veolia designs and implements solutions aimed at improving access to resources while at the same time protecting and renewing those same resources. This is how Veolia and its employees contribute every day to resourcing the world.

# Your responsibilities

As a research intern at Veolia Research & Innovation, you will work in a multi-disciplinary team that is strongly application oriented. You will apply your knowledge in exploratory and proof of concept activities to develop innovative technologies, creates alternative solutions. You will be encouraged to think out of the box, innovate and find solutions to real-life problems.

# Your internship

You will contribute to ongoing project on odour and air quality. You task will include the development of data-driven models. The internship aims to complement physical models with data assimilation strategies in order to incorporate self-correcting feedback mechanisms. Through the project, close collaboration with internal and technical experts is expected.
As part of your internship, you will:
- assess the current modelling strategy
- propose a framework to enhance efficiency and robustness of the model
- document the modelling strategy
- benchmark the developed method with off-the-shelf solutions

# Who we are looking for ?

You are Master student from university or engineering school (BAC+5 / Master 2) in applied mathematics, mathematical engineering, engineering science. You think that simulations and models are key tools in our day to day job. Exploring options and finding innovative answers motivate you.

Capabilities to be efficient in some programming or scripting languages and willing to develop new skills are required. Previous experience in a relevant field such as numerical analysis, optimisation, reduction order modelling, data assimilation methods, and numerical simulation is expected.

You have a clear and efficient communication style, orally as well as writing technical reports."
Fluency in English is required (writing technical reports and participation in technical or business meetings in an international context).

You have fun thinking the world in concepts and using equations and simulations to test ideas and solve concrete problems. You are curious and willing to learn when it comes to discovering new methods or new application fields. You are not shy to try. Your open mind will make it easy for you to integrate smoothly and contribute efficiently to multidisciplinary project teams. You are self-driven and team player as you think that great ideas come where personal intuition meets group emulation.

Does this profile fit your ambitions? Then you might be the person we are looking for! We are waiting for you to join our research teams and build success together.

# How to apply

To be able to process your application, please enclose the following documents with your application:
- a curriculum vita
- a motivation letter, also explaining your research interests
Euro
Tue, 04/30/2019