MASTER – Physique appliquée et ingénierie physique – Mécanique numérique en ingénierie (MNI) – Computational engineering

  • Université de Strasbourg
  • Master ou Bac+5
  • Sciences de la vie, Sciences de la terre et de l'univers, Sciences de la matière, Environnement > Physique, Chimie, Sciences des matériaux

Objectifs

Numerical modelling for industrial applications is a rapidly growing discipline, which brings together the power of computers and the biological, chemical and physical sciences. Computer based simulations and their related visualisations play a key role in industrial applications, environmental or biomechanical investigations.
This training aims to train graduates in engineering and science able to master the scientific approaches for numerical computations in industrial engineering, environmental tales and biomechanics. This program also wants to demonstrate
how computational engineering is used effectively in solving real-world problems.

Savoir-faire et qualifications

In this program the student will lean :
• the knowledge of the basics of fluids mechanics and solid mechanical laws, mathematics and numerical modelling
• to use discretisation methods for the equations governing physical processes (programming language and numerical techniques)
• to use simulation tools (commercial solvers, research codes or free software) in industry (Computational fluid dynamics, computational solid mechanics, computational biomechanics, computational chemical engineering, civil engineering)
• to visualise data and generate meshes around complex geometries
• to develop numerical tools to understand physical phenomena and propose optimised solutions
• to solve numerically any problems in the fields of fluids mechanics, solid mechanics, heat and mass transfer, biomechanics or civil engineering.

Poursuite d'études et carrière

• Functions: PhD student, research engineer, development engineer, research and development engineer (R&D), environmental engineer, modelling and simulation engineer, numerical analyst, research professor, researcher ... long term, R&D Director, responsible for R&D laboratory, office manager
• Sectors: the world of research (PhD program) or large and small companies where numerical modelling is used. Positions in the industry as well as in all research laboratories, where numerical modelling is used (industry, environment, research, higher education).

Principaux métiers, ou activités/fonctions professionnelles visés (cf. parcours)

Prérequis & Admission

https://www.unistra.fr/index.php?id=14804&utm_source=unistra_fr&utm_medium=unistra_fr_homepage