Emplois actuels liés à PhD Position F/M: Developing Physics-Based Multilevel Surrogate Models for Electromagnetic Wave Propagation - Technopole de Sophia Antipolis - INRIA
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Technopole de Sophia Antipolis, France INRIA Temps pleinJob DescriptionContext and Key Features of the PositionThe present doctoral project is part of a collaborative research endeavor between the Atlantis project-team from the Inria Research Center at Université Côte d'Azur and the CNRS-CRHEA laboratory in Sophia Antipolis, France.Atlantis is a joint project-team between Inria and the Jean-Alexandre Dieudonné...
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Technopole de Sophia Antipolis, France INRIA Temps pleinJob DescriptionProject OverviewThis PhD project is part of a collaborative multidisciplinary project between the Atlantis project-team from INRIA Research Center at Université Côte d'Azur and Institut Pascal at Université Clermont Auvergne, in the context of the ANR SWAG-P project.The project aims to design efficient nanoscale biosensors using plasmonic...
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Technopole de Sophia Antipolis, France INRIA Temps pleinContext and SkillsThe research project is part of a collaborative project between INRIA and the CNRS-CRHEA laboratory in Sophia Antipolis, France. The team is developing a unique numerical framework leveraging the capabilities of Discontinuous Galerkin techniques for the simulation of multiscale problems relevant to nanophotonics and nanoplasmonics.Research...
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Technopole de Sophia Antipolis, France INRIA Temps pleinJob DescriptionProject OverviewThis PhD project is part of a collaborative multidisciplinary project between the Atlantis project-team from INRIA Research Center at Université Côte d'Azur and Institut Pascal at Université Clermont Auvergne, in the context of the ANR SWAG-P project.The project aims to design efficient nanoscale biosensors using plasmonic...
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Technopole de Sophia Antipolis, France INRIA Temps pleinContext and skills requiredNanophotonics is a field of research that studies the interactions between light and matter at the nanoscale. As a research intern in our team, you will work on developing a reduced-order modeling (ROM) method using artificial neural networks (ANNs) for nanophotonics. This method will enable the efficient simulation of complex...
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Technopole de Sophia Antipolis, France INRIA Temps pleinJob DescriptionWe are seeking a highly motivated PhD candidate to join our team at INRIA in Sophia Antipolis, France. The successful candidate will be part of a collaborative multidisciplinary project between the Atlantis project-team and the Elena team at the Pascal Institute.Project ContextThe PhD project is part of the ANR SWAG-P project, which aims to...
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Technopole de Sophia Antipolis, France INRIA Temps pleinContext and Advantages of the PositionThe present doctoral project is part of a collaborative project between the INRIA Research Center at Université Côte d'Azur and the CNRS-CRHEA laboratory in Sophia Antipolis, France.Atlantis is a joint project-team between INRIA and the Jean-Alexandre Dieudonné Mathematics Laboratory at Université Côte d'Azur. The...
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Technopole de Sophia Antipolis, France INRIA Temps pleinJob DescriptionProject OverviewThis PhD project is part of a collaborative multidisciplinary project between the Atlantis project-team from INRIA Research Center at Université Côte d'Azur and Institut Pascal at Université Clermont Auvergne, in the context of the ANR SWAG-P project.The project aims to design efficient nanoscale biosensors using plasmonic...
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Technopole de Sophia Antipolis, France INRIA Temps pleinAbout the PositionAs a scientific computing specialist, you will play a key role in enhancing the high performance computing capabilities of the DIOGENeS software suite. This involves developing GPU and multi-GPU-enabled versions of the compute-intensive numerical kernels of the solvers for solving the differential models of nanophotonics.About the TeamThe...
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Technopole de Sophia Antipolis, France INRIA Temps pleinJob DescriptionContext and Key ResponsibilitiesThe present doctoral project is part of a collaborative research effort between the Atlantis project-team from the Inria Research Center at Université Côte d'Azur and the CNRS-CRHEA laboratory in Sophia Antipolis, France.Atlantis is a joint project-team between Inria and the Jean-Alexandre Dieudonné...
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High Performance Computing Engineer
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PhD Position F/M: Developing Physics-Based Multilevel Surrogate Models for Electromagnetic Wave Propagation
Il y a 2 mois
Context and Key Objectives
The development of cost-effective surrogate models is crucial for numerical simulations of electromagnetic wave propagation problems. These simulations rely on space discretization of Maxwell's equations using methods such as finite differences or finite elements. However, for complex and realistic three-dimensional situations, this process can be computationally prohibitive, especially when the end goal consists in many-query analyses.
Recent years have seen the emergence of approaches based on neural networks (NNs) and Deep Learning (DL) for building surrogate models in a non-intrusive way. Model-based neural networks, as opposed to purely data-driven neural networks, are currently the subject of intense research for devising high-performance surrogate models of parametric partial differential equations (PDEs).
Research Objectives
- Study the feasibility of multilevel distributed strategies for fast training of physics-based DNNs for modeling electromagnetic wave propagation in the frequency domain.
- Investigate strategies that can accurately and efficiently deal with the simulation of electromagnetic wave interaction with heterogeneous media and geometrically complex scattering structures.
- Develop high-performance parametric NN surrogates that will be used as the forward model in inverse design studies.
Methodologies and Tools
The PhD project will involve a combination of theoretical and numerical approaches, including:
- Bibliographical study for a review of physics-based DNNs for wave propagation type models and strategies for designing multilevel and distributed physics-based DNNs.
- Software development activities using Python programming, TensorFlow, and PyTorch.
- Numerical assessment of the proposed NN-based physics-based multilevel surrogate models.
Requirements and Qualifications
The ideal candidate should have:
- Sound knowledge of numerical analysis for PDEs.
- Sound knowledge of Machine Learning/Deep Learning with Artificial Neural Networks.
- Basic knowledge of physics of electromagnetic wave propagation.
- Software development skills in Python programming, TensorFlow, and PyTorch.
- Relational skills, including team work, verbal communication, active listening, motivation, and commitment.
Working Conditions
The PhD student will be employed by INRIA and will work under the supervision of a senior researcher. The gross salary per month is 2082€ brut per month (year 1 & 2) and 2190€ brut per month (year 3). The working conditions are those of a PhD student at INRIA, with access to state-of-the-art research facilities and a dynamic research environment.
