PhD Position F/M Reliable Deep Neural Network Hardware Accelerators

INRIA is seeking a highly motivated PhD candidate to contribute to cutting-edge research in the field of reliable deep neural network hardware accelerators. Deep learning models are revolutionizing various industries, from healthcare and robotics to finance and entertainment. However, the increasing complexity and deployment of these models on edge devices...

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,...

Context and ObjectivesDeep Neural Networks (DNNs) are widely used predictive models in machine learning, but they require significant energy and resources. To address this, custom Artificial Intelligence (AI) hardware accelerators are being designed to support DNNs. However, these accelerators are prone to hardware faults (HW faults) that can cause...

Job DescriptionContext and ObjectivesWe are seeking a highly motivated PhD student to join our research team at INRIA. The goal of this PhD project is to design and develop an optimized algorithm-level fault injection framework to assess the resiliency of Deep Neural Network (DNN) hardware accelerators to hardware faults. This framework will enable the...

Context and ObjectivesDeep Neural Networks (DNNs) are widely used predictive models in machine learning, but they require significant energy and resources. To address this, custom Artificial Intelligence (AI) hardware accelerators are being designed to support DNNs. However, these accelerators are prone to hardware faults (HW faults) that can cause...

Context and ObjectivesDeep Neural Networks (DNNs) are widely used predictive models in machine learning, but they require significant energy and resources. To address this, custom Artificial Intelligence (AI) hardware accelerators are being designed to support DNNs. However, these accelerators are prone to hardware faults (HW faults) that can cause...

Job DescriptionResearch ContextINRIA is seeking a highly motivated PhD student to contribute to the design and development of fault-tolerant architectures for Deep Neural Network (DNN) hardware accelerators. The goal of this project is to ensure the reliability of DNN hardware accelerators, which are critical components in various applications, including...

Job DescriptionPhD Position in Unconventional AI Accelerator Reliability EnhancementInria Rennes - Bretagne Atlantique Centre is seeking a highly motivated PhD student to work on the reliability enhancement of unconventional AI accelerators. The successful candidate will be part of a research team focused on developing innovative solutions for AI...

Job DescriptionINRIA is seeking a highly motivated PhD student to join our team and contribute to the development of reliable and efficient AI accelerators.About the ProjectThe goal of this PhD project is to investigate the reliability of unconventional AI accelerators and propose novel fault mitigation techniques. The project will involve a combination of...

Job DescriptionAt INRIA, we are seeking a highly motivated PhD student to join our team and contribute to the development of reliable AI accelerators.Project OverviewThe goal of this PhD project is to investigate the reliability of unconventional AI accelerators, specifically those based on PIM (Processing-In-Memory) and neuromorphic computing architectures....

Job DescriptionContext and BackgroundAs AI applications are increasingly being deployed on edge devices, there is a growing need to ensure the reliability and trustworthiness of AI hardware architectures. This PhD research position aims to investigate the impact of hardware faults on AI decisions and develop novel fault-tolerant approaches to ensure the...

Job DescriptionContext and BackgroundAs AI applications are increasingly being deployed on edge devices, there is a growing need to ensure the reliability and trustworthiness of AI hardware architectures. This PhD research position aims to investigate the impact of hardware faults on AI decisions and develop novel fault-tolerant approaches to ensure the...

Job DescriptionContext and BackgroundAs AI applications are increasingly being deployed on edge devices, there is a growing need to ensure the reliability and trustworthiness of AI hardware. The goal of this PhD thesis is to study the impact of hardware faults on AI decisions and develop fault-tolerant AI hardware architectures.Research ObjectivesThe PhD...

Job DescriptionAt INRIA, we are seeking a highly motivated PhD student to join our team and contribute to the development of reliable AI accelerators.Project OverviewThe goal of this PhD project is to investigate the reliability of unconventional AI accelerators, such as PIM-based accelerators, and propose fault mitigation techniques to ensure their safe...

Job DescriptionContext 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. To support this trend,...

Job DescriptionContext 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. To support this trend,...

Job Title: Postdoctoral Researcher in Neural-Network-Based ControlWe are seeking a highly motivated postdoctoral researcher to join our team at Mitsubishi Electric R&D Centre Europe - France. The successful candidate will work on a research project focused on the stability analysis of neural-network-based controllers for nonlinear time-varying dynamical...

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 devices. The successful candidate will be part of the TARAN team and contribute to the development of...

About the RoleMitsubishi Electric R&D Centre Europe - France is seeking a highly skilled Post-doctoral Researcher to join our Wireless Communication Systems team. As a key member of our research team, you will be responsible for designing and developing novel neural-network-based control systems for nonlinear time-varying dynamical systems.Key...

Job DescriptionPhD Position F/M Exploring Low-Precision Arithmetic for Continual Learning Tasks on Edge DevicesInria 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 devices. The successful candidate will be part of the TARAN team and...