Past Internships in MSCI

In a very broad acceptation, shape and topology optimization is about finding the best domain (which may represent, depending on applications, a mechanical structure, a fluid channel,…) with respect to a given performance criterion (e.g. robustness, weight, etc.), under some constraints (e.g. of a geometric nature).

Analyse topologique de données en mécanique des fluidesd

LSIE, La Rochelle

Analysis and optimization of Schwarz algorithms for ocean - sea ice - atmosphere coupling

LJK, Grenoble

Apprentissage de noyaux de fragmentation par réseaux de neurones

INRIA, Nancy

Blind inverse problems in microscopy

IRIT, Toulouse

CEA - Détection d’anomalie sur les flux vidéo des caméras infrarouge de l’expérience WEST H/F

CEA, Grenoble

Colorisation d’images automatique à l’aide de réseaux de neurones et méthodes variationnelles

LORIA, Nancy

Computational biology

This interdisciplinary course is designed for students with a computer science or mathematical background, offering them an opening to bioinformatics and to bioinformatics and computational biology.

Contribute to the future of systems neuroscience : develop a virtual reality environment combined with brain-wide imaging and behavioral analysis

NERF, Leuven (Belgique)

Control of parameters in the presence of uncertainties

LJK, Grenoble

Cryptographie quantique & Cryptographie post-quantique

QbitSoft, Paris

Deep generative models for estimating the genomic offset of populations under environmental change

LJK-INRIA, Grenoble

Deep language models for structural biology in 3D

LJK, Grenoble

Dereverberation based on time-frequency reassignment and stochastic reverberation modeling

Télécom Paris, IDS, Palaiseau

Differential Calculus, Wavelets and Applications

The course is structured in two parts, treated respectively and independently by Sylvein Meignen and Kévin Polisano. The first part is devoted to differential calculus and its applications in image restoration and edge detection. The second part is dedicated to the construction and practical use of the wavelet transform. Wavelets are basis functions widely used in a large variety of fields: signal and image processing, data compression, smoothing/denoising data, numerical schemes for partial differential equations, scientific visualization, etc. Connections between the two parts will be made on the aspects of denoising, edge detection and graph analysis.

Discretization and implementation of differential equations modeling light-matter interactions

LJK, Grenoble

Efficient linear algebra on GPUs for Gröbner bases computations

LIP6 - Paris Sorbonnes, Paris

Etude de maturité du Calcul Quantique

QbitSoft, Paris

Event and Self Triggered Stabilizing Controllers for Linear Switched Systems

LJK, Grenoble

Fluid mechanics and granular matter

Equations and models are presented in a continuum setting, and then approximated in time and space. Then, the efficient numerical resolution is addressed with some examples of practical applications.

Geometric learning for drug design

LJK, Grenoble

Geophysical imaging

In the current context of energy transition and fight against global warming, a precise knowledge of the crust, down to several km depth, has become a critical issue.

GPU Computing

In this course, we will introduce parallel programming paradigms to the students in the context of applied mathematics.

Handling uncertainties in (large-scale) numerical models

Numerical simulation is ubiquitous in today’s world. Initially confined to well-mastered physical problems, it has spread to all fields (oceanography, biology, ecology, etc.), the aim being to make forecasts of the systems under study.

High-performance computing for seismic modeling with the SEM46 development

LJK, Grenoble

High-Performance Computing with Ocean Simulations

LJK, Grenoble

Hybrid particle methods for the continuum simulation of granular material

LJK, INRIA

Image localisation of shapes and construction of a dynamical data base

LJK, Grenoble

Ingénieur en biostatistique / bioinformatique H/F

AMAP, Montpellier

Ingénieur.e informaticien.ne en modélisation des plantes et des cultures

CIMAP, Montpellier

Machine Learning analysis of X-ray spectroscopy images

Detection Technology, Moirans

Matching, reconstruction and learning 3D shapes using high-order polynomials and rota1on-invariant descriptors

LJK, Grenoble

Mathematical optimization

Theoretical foundations of convex optimization.

Model comparison in multivariate hidden semi-Markov models with covariates Application to modelling flowering sequences in apple trees.

INRAE- MIAT, Toulouse

Modeling Seminar

This lecture proposes modelling problems. The problems can be industrial or academic.

Modelling and mathematical analysis of complex gravity flows

I2M, Marseille

Modélisation et simulation numérique de l’extraction de l’eau du sol par les plantes. Amélioration de modèle et application

INRAE, Avignon

Méthode de Nitsche pour la discrétisation du contact frictionnel dans les milieux géologiques poreux, déformables et faillés/fracturés

Laboratoire de Mathématiques JA Dieudonné, Nice

Méthodes de calage de paramètres en temps réel.

Numerical Mechanics

TApplied to both special effects in films and virtual prototyping in industry, physical simulation has become a powerful tool, …

Optimisation de Placement Multi-Marchés

Supergrid, Saint-Martin D’Hères

Optimisation par technologie quantique

QbitSoft, Paris

Parameter identification and sensitivity analysis for mechanical systems with frictional contacts

LJK, INRIA, Grenoble

Phase retrieval from the short-time Fourier transform

Télécom Paris, IDS, Palaiseau

Quantum Information & Dynamics

The quantum formalism developed a century ago provides a very precise description of nature at small scales which entails several counter intuitive aspects, …

Random Graphs in Machine Learning

GIPSA-Lab, Grenoble

Research engineer position in numerical methods

INRIA, Lyon

Ridges reassignment without phase information

LJK, Grenoble

Rolling instabilities of elastic ribbons

LJK-INRIA, Grenoble

Simulation numérique du comportement thermo-hydraulique du sous-sol autour d’un site de stockage profond de déchets radioactifs

BRGM, Orléans

Simulation of the biogeochemical cycle in an urban lake: impact of external forcings on the ecosystem dynamics

INRAE, Paris

Statistical learning: from parametric to nonparametric models

This course is related to mathematical and statistical methods which are very used in supervised learning.

Structural Optimization

ANSYS, Lyon/Paris

Temporal, spatial and extreme event analysis

Modelling extreme temperatures, extreme river flows, earthquakes intensities, neuronal activity, map diseases, lightning strikes, forest fires, for example is a risk modelling and assessment task, which is tackled in statistics using point processes and extreme value theory.