PhD Position F/M: Investigating Multilevel Distributed Strategies for Physics-Based Deep Learning Models

Job DescriptionContext and Key ObjectivesThe 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...

Job DescriptionContext and Key FeaturesNumerical simulations of electromagnetic wave propagation problems rely heavily on space discretization of Maxwell's equations using methods like finite differences or finite elements. However, for complex three-dimensional situations, this process can be computationally expensive, especially when dealing with...

Job DescriptionContext and Key ResponsibilitiesWe are seeking a highly motivated PhD student to join our team at INRIA and contribute to the development of novel physics-based multilevel surrogate models for electromagnetic wave propagation. The successful candidate will work on designing and implementing efficient algorithms for training physics-informed...

Job DescriptionContext and Key ObjectivesThe 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...

Job DescriptionContext and Key ObjectivesThe 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...

Applications are welcome at the Inria center of the University Cote d’Azur on the French Riviera situated in the vibrant technopole of Sophia-Antipolis, for a Master internship (4 to 6 months duration) followed by a three year fully funded PhD positon (to start immediately after or at commonly agreed date), in the context of a multi-partner collaborative...

About the OpportunityInria, a leading French research institute, is seeking a highly motivated PhD researcher to join its STARS research team. The successful candidate will contribute to the development of cutting-edge computer vision algorithms for image and video generation.Research FocusThe PhD researcher will investigate novel model architectures for...

About the PositionInria, a leading French research institute, is seeking a highly motivated PhD researcher to join its STARS research team. The successful candidate will contribute to the development of cutting-edge computer vision and generative models.Research FocusThe PhD researcher will focus on investigating novel model architectures for video...

Position OverviewThis role focuses on performing numerical analyses of electromagnetic wave propagation utilizing advanced deep learning techniques to create efficient surrogate models for intricate scenarios. The selected candidate will engage in the research and application of physics-informed neural networks aimed at enhancing simulation performance and...

Context and ObjectivesThis PhD thesis is part of Inria's research initiative on Federated Learning, FedMalin. The PhD candidate will join the NEO project-team, positioned at the intersection of Operations Research and Network Science.Research FocusThe research activity will focus on proposing algorithms to design the communication topology for decentralized...

Job DescriptionContext and Key ResponsibilitiesThe PhD project is part of a collaborative research effort between INRIA and the CNRS-CRHEA laboratory in Sophia Antipolis, France. The project aims to develop novel numerical methods for the design and optimization of active metasurfaces, which are engineered materials that can control the behavior of...

Project OverviewThe 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.Research ObjectivesThe PhD project aims to develop a comprehensive numerical study of the...

Job DescriptionProject OverviewThe 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...

Job 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...

Job DescriptionContext and Key ResponsibilitiesThe PhD project is part of a collaborative research effort between INRIA and the CNRS-CRHEA laboratory in Sophia Antipolis, France. The project aims to develop novel numerical methods for the design and optimization of active metasurfaces, which are engineered materials that can control the behavior of...

Contexte et atouts du poste Inria, the French National Institute for computer science and applied mathematics, promotes “scientific excellence for technology transfer and society”. Graduates from the world’s top universities, Inria's 2,700 employees rise to the challenges of digital sciences. With its open, agile model, Inria is able to explore...

Job DescriptionAs a PhD researcher in the field of active metasurfaces, you will be part of a collaborative project between INRIA and the CRHEA laboratory. Your main goal will be to develop numerical methods for the design and optimization of active metasurfaces, leveraging the capabilities of deep learning and artificial neural networks.Key...

Job DescriptionWe are seeking a highly skilled postdoctoral researcher to join our team at INRIA, working on distributed machine learning and edge AI. The successful candidate will be part of the dAIEDGE project, a European Union-funded network of excellence for distributed, trustworthy, efficient, and scalable AI at the edge.Research TopicsThe postdoctoral...

Tensor Modelling and Optimisation PhD ProgrammeThe INRIA PhD programme in Tensor Modelling and Optimisation is a unique opportunity for highly motivated and talented researchers to contribute to cutting-edge research in the field of tensor modelling and computation. The programme is part of the TENORS project, a Marie Skłodowska-Curie Doctoral Network /...

Job DescriptionWe are seeking a highly skilled postdoctoral researcher to join our team at INRIA, working on distributed machine learning and edge AI. The successful candidate will be part of the dAIEDGE project, a European Union-funded network of excellence for distributed, trustworthy, efficient, and scalable AI at the edge.Research TopicsThe postdoctoral...