5 PhD proposals with industrial partners

  • Position 1 : Development of a Digital Twin based on Machine Learning tools for monitoring the dynamics of very tall wooden buildings.

The aim is to develop a digital twin capable of producing an augmented reality of the state of stress of structures subjected to wind or seismic excitations in order to analyse and predict possible degradation and ageing, based on models of high-rise wooden structures and measurements taken in real time by cameras.

Partners : FCBA (Bordeaux), Ecole de ponts (Marne la Vallée), ISAE-Supmeca

 

  • Position 2 : Development of a Digital Twin based on Machine Learning tools for the control of vehicle dynamics.

The project aims to develop self-analysis and self-prognosis tools for vehicles that will be on the market within 5 to 10 years. Using the numerous sensors present on vehicles and the computing resources of the on-board computers of the next vehicles, the aim is to develop a digital twin based on Machine Learning tools that will enable the vehicle (using virtual sensors) to analyse its own dynamics in use in order to produce information for autonomous driving, predictive maintenance and analysis of the road network, while offering users an augmented reality vision of the dynamics of their vehicle.

Partner : Stellantis (PSA Vellizy), ISAE-Supmeca

 

  • Position 3 : Advanced crash calculation techniques for the robust optimisation of electric vehicles.

The crash sizing of vehicles occurs very early in the design process and remains a first order criterion in the technological choices of vehicle architecture. These crash calculations are particularly costly numerically and represent a significant part of the development time of new vehicles. The proposed project aims to develop new crash calculation models based on physics but also on Machine Learning tools that will make it possible to produce robust substitution models capable of producing a large number of simulations in a very short time.

Partner : Renault (Guyancourt), ISAE-Supmeca

 

  • Position 4 : Development of a Digital Twin for the robust design of electric vehicle architectures.

The optimal design of electric vehicles requires the consideration of a large number of technologies and physics. The objective of the project is to produce surrogate models that take into account all the technological and physical issues of an electric vehicle. The models implemented are currently simulated using several software packages that address different physics and are driven by a digital co-simulation environment. The substitution models to be developed are based on the physics concerned and on Machine Learning tools and are intended to be implemented in the longer term on the on-board electronics of vehicles.

Partner : Renault (Guyancourt), ISAE-Supmeca

 

  • Position 5 : Nonlinear behaviour of joints of timber structures under static and dynamic loading conditions - application to very tall wooden buildings.

The aim is to develop experimental methods and models of joints and assemblies of timber structures with based on models of high-rise wooden structures and measurements taken in real time by cameras.

Partners : FCBA (Bordeaux), Ecole de ponts (Marne la Vallée), ISAE-Supmeca

If you are interseted in these proposals, send your CV by mail to : jean-luc.dion@isae-supmeca.fr