PhD Position in Incremental Deep Learning 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 DescriptionContext and ObjectivesThis PhD position is part of the Adapting project, which focuses on designing adaptive embedded hardware architectures for AI. The goal is to develop new incremental machine learning algorithms that can serve as use cases in the Adapting project for other researchers working on hardware architecture design.Research...

Job DescriptionContext and ObjectivesThis PhD position is part of the Adapting project, which focuses on designing adaptive embedded hardware architectures for AI. The goal is to design new incremental machine learning algorithms that can serve as use cases in the Adapting project for other researchers who will focus on the hardware architecture...

Job DescriptionContext and ObjectivesThis PhD position is part of the Adapting project, which focuses on designing adaptive embedded hardware architectures for AI. The goal is to design new incremental machine learning algorithms that can serve as use cases in the Adapting project for other researchers who will focus on the hardware architecture...

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 DescriptionContext and ObjectivesThis PhD position is part of the Adapting project, which focuses on designing adaptive embedded hardware architectures for AI. The goal is to design new incremental machine learning algorithms that can serve as use cases in the Adapting project for other researchers who will focus on the hardware architecture...

Job DescriptionContext and ObjectivesThis PhD position is part of the Adapting project, which focuses on designing adaptive embedded hardware architectures for AI. The goal is to develop new incremental machine learning algorithms that can serve as use cases in the Adapting project for other researchers working on hardware architecture design.Key...

Job DescriptionContext and ObjectivesThis PhD position is part of the Adapting project, which focuses on designing adaptive embedded hardware architectures for AI. The goal is to design new incremental machine learning algorithms that can serve as use cases in the Adapting project for other researchers who will focus on the hardware architecture...

Job DescriptionContext and ObjectivesThis PhD position is part of the Adapting project, which focuses on designing adaptive embedded hardware architectures for AI. The goal is to design new incremental machine learning algorithms that can serve as use cases in the Adapting project for other researchers who will focus on the hardware architecture...

Job DescriptionContext and ObjectivesThis PhD position is part of the Adapting project, which focuses on designing adaptive embedded hardware architectures for AI. The goal is to develop new incremental machine learning algorithms that can serve as use cases in the Adapting project.Key ChallengesDesigning resource-efficient incremental learning algorithms...

Job DescriptionContext and ObjectivesThis PhD position is part of the Adapting project, which focuses on designing adaptive embedded hardware architectures for AI. The goal is to design new incremental machine learning algorithms that can serve as use cases in the Adapting project for other researchers who will focus on the hardware architecture...

Job DescriptionContext and ObjectivesThe PhD student will investigate incremental learning of foundation models on embedded systems. The research will focus on designing new resource-efficient incremental learning algorithms that can run on embedded systems with their associated resource and privacy constraints.Key ResponsibilitiesConduct comprehensive...

About This Opportunity INRIA is seeking a highly motivated PhD candidate to join our research team focused on the exciting field of foundation models and their deployment on embedded systems. This position offers a unique opportunity to contribute to cutting-edge research with real-world impact. Research Focus The primary objective of this PhD is to...

Job DescriptionContext and ObjectivesThis PhD position is part of the Adapting project, which focuses on designing adaptive embedded hardware architectures for AI. The goal is to develop new incremental machine learning algorithms that can serve as use cases in the Adapting project for other researchers who will focus on the hardware architecture design.Key...

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...

Context and ObjectivesDeep Neural Networks (DNNs) are widely used in machine learning applications, but they are prone to hardware faults that can impact their accuracy and reliability. This PhD position aims to design and develop an optimized algorithm-level fault injection framework to assess the resiliency of DNN hardware accelerators to hardware faults,...

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...

Job DescriptionPhD Position in Continual Learning and Low-Precision ArithmeticInria 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...

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...

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...