PhD Position in Workflow Provenance and Explainable Artificial Intelligence

Job DescriptionINRIA is seeking a highly motivated PhD researcher to join our team and contribute to the development of workflow provenance for explainable and transparent artificial intelligence.Context and OverviewArtificial intelligence (AI) is driving scientific discovery and economic growth in various application domains, but its pervasive presence...

Job DescriptionINRIA is seeking a highly motivated PhD researcher to join our team and contribute to the advancement of explainable and transparent artificial intelligence (AI) through workflow provenance research.Context and OverviewArtificial intelligence is driving scientific discovery and economic growth in various application domains, but its pervasive...

Research Position in Artificial Intelligence Transparency and ExplainabilityThe KerData team at INRIA is seeking a highly motivated PhD candidate to work on a research project focused on advancing the transparency and explainability of Artificial Intelligence (AI) systems. The project aims to investigate mechanisms to formalize, capture, store, and manage...

Research Position in AI Transparency and ExplainabilityThe KerData team at INRIA is seeking a highly motivated PhD candidate to contribute to the advancement of AI transparency and explainability. The successful candidate will work on the development of mechanisms to formalize, capture, store, and manage metadata in AI-powered workflows.Research...

Job DescriptionWe are seeking a highly motivated and talented PhD student to join our team at INRIA to work on a project focused on workflow provenance for explainable and transparent artificial intelligence. The successful candidate will have the opportunity to contribute to the development of novel methods and tools for capturing, analyzing, and...

Research Position in Workflow Provenance and Explainable AIThe KerData team at Inria is seeking a highly motivated PhD researcher to work on a project focused on workflow provenance and explainable AI. The successful candidate will contribute to advancing the research on AI transparency and explainability, addressing the growing concerns about ethical and...

Context and OverviewArtificial Intelligence (AI) is driving scientific discovery and economic growth in various application domains, impacting routine daily tasks to societal-level challenges. However, research communities, industry players, and social actors express increasing concern about the potential ethical and practical implications of AI. To address...

Context and OverviewArtificial Intelligence (AI) is driving scientific discovery and economic growth in various application domains, impacting from routine daily tasks to societal-level challenges. However, research communities, industry players, and social actors are expressing increasing concern about the potential ethical and practical implications of the...

Context and OverviewArtificial Intelligence (AI) is driving scientific discovery and economic growth in various application domains, impacting routine daily tasks to societal-level challenges. However, research communities, industry players, and social actors express increasing concern about the potential ethical and practical implications of AI. To address...

Context and OverviewArtificial Intelligence (AI) is driving scientific discovery and economic growth in various application domains, impacting routine daily tasks to societal-level challenges. However, research communities, industry players, and social actors express increasing concern about the potential ethical and practical implications of AI. To address...

PhD Position in Trustworthy AI Hardware ArchitecturesAbout the Research CentreInria Rennes - Bretagne Atlantique Centre is one of Inria's eight centres and has more than thirty research teams. The Inria Centre is a major and recognized player in the field of digital sciences.Research ContextBackground and ContextThere is a growing need to distribute...

About the Centre or DepartmentInria Rennes - Bretagne Atlantique Centre is one of Inria's eight centres and has more than thirty research teams. The Inria Centre is a major and recognized player in the field of digital sciences. It is at the heart of a rich R&D and innovation ecosystem: highly innovative PMEs, large industrial groups, competitiveness...

Context and Background:As the field of Artificial Intelligence (AI) continues to advance, the need to distribute AI applications from the cloud to edge devices has become increasingly important. This trend aims to address issues related to data privacy, bandwidth limitations, power consumption reduction, and low latency requirements, particularly in...

Context and BackgroundThe increasing need to distribute Artificial Intelligence (AI) applications from the cloud to edge devices has led to a growing trend of designing custom and embedded AI Hardware architectures (AI-HW) to support energy-intensive data movement, speed of computation, and large memory resources that AI requires to achieve its full...

Context and BackgroundAs the demand for Artificial Intelligence (AI) applications grows, there is an increasing need to distribute AI applications from the cloud to edge devices. This trend aims to address issues related to data privacy, bandwidth limitations, power consumption reduction, and low latency requirements, especially for real-time, mission- and...

Context and BackgroundThe increasing need to distribute Artificial Intelligence (AI) applications from the cloud to edge devices has led to a growing interest in designing custom and embedded AI Hardware architectures (AI-HW). However, AI-HW is not immune to faults, which can impact AI decisions and explainability. This PhD thesis aims to study the impact of...

Context and BackgroundWith the increasing need to distribute Artificial Intelligence (AI) applications from the cloud to edge devices, there is a growing trend to design custom and embedded AI Hardware architectures (AI-HW) to support energy-intensive data movement, speed of computation, and large memory resources that AI requires to achieve its full...

Context and BackgroundThe increasing need to distribute Artificial Intelligence (AI) applications from the cloud to edge devices has led to a growing trend of designing custom and embedded AI Hardware architectures (AI-HW) to support energy-intensive data movement, speed of computation, and large memory resources that AI requires to achieve its full...

Job DescriptionContext and Advantages of the PositionThe Odyssey team at INRIA is offering a PhD position in numerical ocean dynamics simulation, machine learning, and data assimilation. This position is part of a larger project aimed at improving our understanding, reconstruction, and forecasting of ocean dynamics.The team's expertise encompasses...

Context and ObjectivesThis PhD thesis is part of the NumPEx project, a key national initiative aiming to co-design the software stack for the exascale era and prepare applications accordingly. The thesis will be co-supervised by Inria and CEA, with collaborations expected within the consortium.Research TeamThe thesis will be hosted by the KerData team at the...