PhD Position F/M Investigating Low-Precision Arithmetic for Continual Learning Tasks on Edge Devices

PhD Researcher PositionThe Inria Rennes - Bretagne Atlantique Centre is seeking a highly motivated PhD researcher to investigate the performance impact of using low-precision arithmetic in the context of training and deploying continual learning systems on edge devices.About the ProjectThe goal of this thesis is to explore the use of low-precision arithmetic...

Job Description:The Inria Rennes - Bretagne Atlantique Centre is seeking a highly motivated PhD researcher to work on a project focused on continual learning and low-precision arithmetic for edge AI applications. The successful candidate will be part of the TARAN team and contribute to the development of novel techniques for training and deploying continual...

Job Description:The Inria Rennes - Bretagne Atlantique Centre is seeking a highly motivated PhD researcher to work on a project focused on continual learning for edge devices. The successful candidate will be part of the TARAN team and contribute to the development of novel techniques for training and deploying continual learning systems on edge devices.Key...

About the RoleWe are seeking a highly motivated and creative PhD student to join our team at INRIA Rennes, within the TARAN team. The successful candidate will be involved in common initiatives with other members of the FAIRe project.Job DescriptionThe position is focused on investigating the performance impact of using low-precision arithmetic in the...

Job Description:We are seeking a highly motivated PhD researcher to join our team at INRIA Rennes - Bretagne Atlantique Centre. As a PhD researcher, you will be working on a project focused on low-precision arithmetic for continual learning tasks on edge devices.Project Overview:While machine learning models have achieved impressive results in recent years...

Context: This PhD position is part of the TARAN team at Inria Rennes, involved in the FAIRe project.Mission: The goal of this thesis is to investigate the impact of low-precision arithmetic on the performance of continual learning systems on edge devices.Objectives:Implement and test various low-precision variants of continual learning methods.Develop...

About the RoleWe are seeking a highly motivated and skilled Low-Precision Arithmetic Research Scientist to join our team at INRIA. The successful candidate will have the opportunity to work on cutting-edge research projects focused on continual learning tasks on edge devices.Job DescriptionThe primary goal of this position is to investigate the performance...

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...

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...

Context and BackgroundDeep Neural Networks (DNNs) are currently one of the most intensively and widely used predictive models in the field of machine learning. DNNs have proven to give very good results for many complex tasks and applications, such as object recognition in images/videos, natural language processing, satellite image recognition, robotics,...

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...

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...

Scientific Context INRIA, the French national research institute for digital science and technology, is seeking a highly motivated PhD candidate to join our team in the field of lattice dynamics and noise control. The successful candidate will work on the ANR-JCJC Archi-Noise project, which aims to develop novel metamaterials for noise and vibration...

**Job Overview**We are seeking a highly motivated Deep Learning Researcher to join our team at INRIA. The successful candidate will be part of an exciting project focused on incremental deep learning for embedded systems.**About the Project**In this project, we aim to design new incremental machine learning algorithms that can run on embedded systems with...

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...

Job Context:The INRIA research team is seeking a highly motivated PhD student to work on the development of trustworthy AI hardware architectures. The goal of the project is to design and implement AI hardware accelerators that are resilient to hardware faults and ensure the transparency of AI decisions.Key Responsibilities:Analyze the impact of hardware...

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...

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...

Context and ObjectivesThe goal of this PhD thesis is to design and develop an optimized algorithm-level fault injection framework to assess the resilience of DNN hardware accelerators to hardware faults. This framework will enable the application of low-cost selective fault-tolerance strategies.Main ActivitiesThe PhD student will design and develop a...

Context and Key Aspects Requirements: The position involves full-time research for 3 years in the research center, and the candidate will be paid according to the French salary regulations for PhD students. The work will be carried out in English, and the Ph.D. position is full-time for 3 years (standard duration in France). The project aims to...