The specialisation tracks

Track

Track manager

Description

Smart mobility and vehicle engineering

Fabien Szmykta

This track aims to train engineers capable of participating in the definition and creation of a vehicle based on specifications, taking into account economic, environmental, ecological and societal constraints. The emphasis is not only on mechanical dimensioning, but also on new information technologies and on-board systems.

Offshore transport and energy structures

Marica Pelanti

This track aims to train engineers capable of contributing to the design, development and management of all types of sea transport systems (fast ships, aircraft carriers, submarines, etc.).

The training provides the scientific and technical skills necessary to implement the different stages of the ship loop and introduces students to project management through a systems approach.

Energy in transition: production and optimization

Didier Dalmazzone

This track aims to train engineers capable of designing, optimising and managing means of production and distribution of energy. It includes an apprenticeship in technologies specific to major energy sectors (fossil and renewable) associated with the use of optimisation software methods and tools commonly used in industry.

The treatment of industrial effluents linked to energy production and environmental management are also developed in this track.

The objective of this track is to provide students with both scientific and technological training in cutting-edge fields such as nuclear fission, reactor physics, the fuel cycle, heat transfers and finite element modelling of fluid flows or stressed mechanical structures.

It is highly industrial in nature and the students are in direct contact with stakeholders in the sector such as EDF, AREVA, SUEZ, GDF, and therefore trains engineers for nuclear professions in production, Research and Development as well as in design offices.

Track

Track manager

Description

Optimization and data sciences

Pierre Carpentier

This track allows you to acquire advanced skills in Decision Sciences (optimisation and control), in both its mathematical and digital aspects. It trains future engineers capable of designing and using mathematical models with a view to controlling and optimising a wide variety of systems encountered, for example, in the fields of energy and transport.

The training is based on the deepening of previously acquired knowledge in optimisation (combinatorial and continuous), in control, in probabilities and in statistics.

Modelling and simulation

Patrick Ciarlet

This track provides knowledge and cutting-edge techniques in the field of digital simulation of physical or mechanical phenomena, for applications in fields such as wave propagation or fluid mechanics. Many aspects will be addressed: physical or mechanical modelling, the mathematical study of models, digital methods and their implementation on a computer, with in particular the problem of scientific computing on a parallel or distributed architecture.

Quantitative finance

Laure Giovangigli

The objective of the Quantitative Finance track is to train high-level executives in financial engineering on an excellent basis in mathematics, algorithmics and IT.

This program offers mathematical training in stochastic and deterministic modeling, optimization, simulation and learning at the interface of the life sciences and in the service of the environment and health.

It echoes the concerns of companies and contemporary society in terms of environmental impact and health, and offers opportunities in sectors such as the environment, the pharmaceutical industry, and biomedicine.

Track

Track manager

Description

Robotics

David Filliat,
Omar Hammami

This track aims to provide a strong system specialisation based on ICST (Information and Communication Sciences and Technologies) for complex systems, transport, defence or robotics.

The knowledge provided covers the fields of embedded systems and their physical implementations, embedded software and its real-time, design and validation constraints and algorithmic aspects related to robotics, intelligent vehicles or perception.

Artificial Intelligence

Alexandre Chapoutot

The objective of the artificial intelligence track is to train future engineers in the decision algorithms necessary for the design of autonomous IT agents.

These algorithms are based on modelling paradigms and solving methods. Mathematisation of the problems is necessary to remove all ambiguities involving the understanding and mastery of digital algorithms, which are important to understand and master.

These decision algorithms are based on formalisations whose models can be deterministic or probabilistic, and rely on models or simply on data. The AI track gives an overview of the different types of models for making decisions and managing knowledge.

In addition, a set of lessons on more specific topics such as vision, natural language processing, predictive maintenance or even robotics, provides an overview of the fields of application of AI methods.

Cybersecurity

François Pessaux

This track aims to train engineers specialising in the various aspects of the design of information systems, from their adaptation to the needs of the business, to the development and evaluation of their security.

At the end of the training, the students will master the various techniques of giving advice, specifications and implementation.