PhD Position in Workflow Provenance for Explainable and Transparent Artificial Intelligence

Job DescriptionWe are seeking a highly motivated PhD researcher to join our team at INRIA and contribute to the development of workflow provenance and explainable artificial intelligence. The successful candidate will work under the supervision of a team of experienced researchers and will have the opportunity to collaborate with international...

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...

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...

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...

Research OpportunityThe INRIA is seeking a highly motivated and skilled PhD candidate to work on a research project focused on incremental deep learning for embedded systems. The project aims to design and develop resource-efficient algorithms for edge AI, enabling the deployment of AI models on resource-constrained devices. The successful candidate will...

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 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 NumPEx consortium.Research TeamThe thesis will be hosted by the KerData team...

About the PhD PositionThe Inria Rennes - Bretagne Atlantique Centre is seeking a highly motivated PhD researcher to work on the impact of hardware faults on AI decisions and algorithms developed to explain AI models.The goal of the Ph.D. thesis is to study the reliability of AI hardware in the presence of faults and to design low-cost fault tolerance...

Company OverviewInria, a leading research institution, invites applications for a PhD position in the field of immersive social interactions and inclusive virtual environments. Our team is dedicated to advancing the understanding and improvement of human interactions in social extended reality.

Context and Advantages of the PositionInria, the French national research institute for digital science and technology, is seeking a highly motivated PhD researcher to join its team. As a world-class research center, Inria conducts cutting-edge research in various high-impact scientific disciplines, including international and industrial collaborations,...

Job DescriptionThis PhD position is part of the Adapting project, which focuses on designing adaptive embedded hardware architectures for AI. We are seeking a highly motivated PhD researcher to work on designing new incremental machine learning algorithms that can run on embedded systems with limited computational power, memory, and energy efficiency.Context...

Project ContextMETA-TOO is a European project that aims to investigate gender-based inappropriate social interactions in the Metaverse. The project is placed at the intersection of VR/AR uptake, and social, behavioral, and technological research. In this fast-evolving digital environment, META-TOO addresses the urgent matter of abusive behavior within the...

PhD Position in Unconventional AI Accelerator Reliability EnhancementAt INRIA, we are seeking a highly motivated PhD student to join our team and contribute to the development of innovative AI acceleration techniques.About the ProjectThe goal of this PhD project is to investigate the reliability of unconventional AI accelerators, specifically those based on...

PhD Position in Unconventional AI Accelerator Reliability EnhancementAt INRIA, we are seeking a highly motivated PhD student to join our research team and contribute to the development of novel AI accelerator architectures.About the ProjectThe goal of this PhD project is to investigate the reliability of unconventional AI accelerators, specifically those...

About the RoleWe are seeking a skilled Software Engineer to join our team. The ideal candidate will have expertise in artificial intelligence and machine learning.The successful candidate will be responsible for designing, developing, and implementing scalable software solutions. This will involve working closely with cross-functional teams to identify...

Job DescriptionWe are seeking a highly motivated PhD student to join our team at INRIA and work on a project focused on designing adaptive embedded hardware architectures for AI. The PhD will investigate incremental learning of foundation models on embedded systems, with a focus on resource efficiency, privacy, and low energy consumption.Key...

Job OpportunityThe Odyssey team at INRIA is seeking a PhD candidate to work on numerical ocean dynamics simulation, machine learning, and data assimilation.The team's expertise encompasses mathematical and numerical modelling of ocean flows, observational and physical oceanography, data assimilation, and machine learning.The PhD student will collaborate with...