Research laboratories
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The laboratories below are the main laboratories for applied mathematics in Grenoble. The examples show the kind of work available; they are not a list of current openings.
| Laboratory | Relevant areas for M1 AM | Typical M1 topics |
|---|---|---|
| EMBL Grenoble | Structural biology, bioinformatics, image analysis, modelling | Bioinformatics and image-analysis projects |
| GIPSA-lab | Signal and image processing, control, estimation, statistical learning | Signal and image analysis, control and estimation projects |
| G-SCOP | Operations research, scheduling, combinatorial optimisation, production systems | Scheduling with dependent processing times; image-based monitoring of wire-arc additive manufacturing |
| IGE | Climate, ocean, hydrology and cryosphere; numerical modelling, remote sensing, data analysis | Environmental modelling and data-analysis projects |
| ILL | Neutron science, data analysis, instrument simulation, scientific computing | Data-analysis and simulation projects |
| Inria Grenoble teams (AIRSEA, Nano-D) | Scientific computing, data assimilation, high-performance computing, optimisation, computational biology | Air-sea and climate modelling; 3D shape matching and molecular shape analysis |
| Institut Néel | Condensed-matter theory and simulation; data analysis for materials and quantum systems | Materials modelling and data-analysis projects |
| ISTerre | Geophysics, inverse problems, seismic imaging, signal processing, remote sensing | Inverse-problem and imaging projects |
| LEGI | Fluid mechanics, turbulence, computational fluid dynamics, environmental flows | CFD and turbulence modelling projects |
| LIG | Algorithms, discrete mathematics, graph and combinatorial optimisation, formal methods | Algorithm design and graph problems, optimisation, verification |
| LJK | Numerical analysis and PDEs, scientific computing, optimisation, statistics and machine learning, imaging, geometry, cryptography | Random generation of quasi-separable matrices; numerical simulation of negative drag; 3D shape matching with high-order polynomials; design of experiments for ocean and climate scenarios; statistical modelling of apple flowering |
| TIMC | Biostatistics, medical imaging, modelling of biological systems | Formal decomposition of pluripotent Boolean networks; medical image and clinical data analysis |
| Verimag | Verification, formal methods, embedded systems | Formal verification and embedded-system projects |
Many Inria teams are joint with LJK, so students often apply through both the university laboratory and the Inria team page. The Research in Grenoble page gives fuller descriptions of the main laboratories and their research groups.
Other research hosts in the archives include CEA Grenoble (IRIG/MEM) and ESRF. Recent projects covered non-linear optimisation for quantum many-body problems and machine learning for X-ray imaging of nanomaterials.