Deep Learning Researcher for Embedded Systems

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 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...

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...

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 Context and RequirementsWe are seeking a highly motivated PhD researcher to join our team at INRIA and contribute to the development of fault-tolerant deep learning hardware. The successful candidate will have the opportunity to work on a cutting-edge research project that aims to design and develop an optimized algorithm-level fault injection framework...

Context and benefits of the positionThe successful candidate will be part of a research team focused on designing and developing reliable hardware accelerators for deep neural networks. The goal of this PhD project is to investigate the impact of hardware faults on the accuracy of DNNs and to propose novel fault-tolerant architectures.Key...

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...

Drive Innovation in Embedded Software DevelopmentWe're looking for a skilled Senior Software Delivery Engineer to join our team at Silicon Labs Careers. As a key member of our software delivery team, you will be responsible for defining and implementing the technical vision for embedded software build and release processes.Your Key Responsibilities:Define...

About the PhD Researcher 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 PhD researcher will be responsible for analyzing the possible failure mechanisms affecting the hardware, deriving the...

PhD Research Project: Trustworthy AI Hardware ArchitecturesWe are looking for a talented PhD student to join our research team at Inria Rennes - Bretagne Atlantique Centre. The PhD research project aims to investigate the impact of hardware faults on AI decisions and algorithms developed to explain AI models.The successful candidate will analyze the possible...

Research Position in Fault-Tolerant Deep Neural NetworksAs part of our research team at INRIA, we are seeking a highly motivated PhD student to work on the design and development of fault-tolerant deep neural networks. The goal of this project is to investigate the impact of hardware faults on the reliability of deep neural networks and to develop novel...

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...

Ph.D. Thesis: Reliable Deep Neural Network Hardware AcceleratorsThe aim of this Ph.D. research is to design and develop an optimized algorithm-level fault injection framework to assess the resiliency of DNN HW accelerators to HW faults.The Ph.D. student will design and develop a methodology to perform large-scale fault analysis on state-of-the-art DNN...

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...

Job Context and RequirementsThe research group at INRIA is seeking a postdoctoral researcher to work on formal methods and formal verification of real-time systems using timed automata and techniques from game theory, reinforcement learning, temporal logics, and automata learning.Research ProjectThe research project will focus on developing black-box testing...

Research Position Context The Formal Verification team at INRIA is seeking a postdoctoral researcher to work on formal methods for real-time systems. Project Overview We are looking for a researcher with a strong background in formal verification and a strong publication record to work on a project involving formal verification and testing of real-time...

Research Opportunity at INRIAThe research group at INRIA belongs to a joint research center with CNRS and Université de Rennes.Research ProjectWe are seeking a postdoctoral researcher to work on formal verification and testing of real-time systems using timed automata and techniques from game theory, reinforcement learning, temporal logics, and automata...

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,...

PhD Position F/M Continual Learning and Low-Precision Arithmetic on Edge DevicesAt INRIA, we are seeking a highly motivated PhD researcher to investigate the impact of low-precision arithmetic on continual learning tasks on edge devices. The successful candidate will be part of the TARAN team and contribute to the FAIRe project.Context: The position is...

About the Research ProjectThe Inria Rennes - Bretagne Atlantique Centre is conducting research on the impact of hardware faults on AI decisions and algorithms developed to explain AI models.The goal of the research project is to study the reliability of AI hardware in the presence of faults and to design low-cost fault tolerance approaches to efficiently...