Emplois actuels liés à PhD Position: Trustworthy AI Hardware Architectures - Rennes, Bretagne - INRIA
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PhD Position in Trustworthy AI Hardware Architectures
il y a 3 semaines
Rennes, Bretagne, France Inria Temps pleinPhD Position in Trustworthy AI Hardware ArchitecturesWe are seeking a highly motivated PhD researcher to join our team at Inria Rennes - Bretagne Atlantique Centre. The successful candidate will work on the development of trustworthy AI hardware architectures, focusing on the impact of hardware faults on AI decisions and algorithms.About the Research...
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PhD Position in Trustworthy AI Hardware Architectures
il y a 3 semaines
Rennes, Bretagne, France INRIA Temps pleinJob DescriptionWe are seeking a highly motivated PhD student to join our research team at INRIA and work on a project focused on trustworthy AI hardware architectures. The goal of this project is to study the impact of hardware faults on AI decisions and develop low-cost fault tolerance approaches to ensure the correctness of AI hardware.Key...
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PhD Positions in Trustworthy AI Hardware Architectures
il y a 7 jours
Rennes, Bretagne, France INRIA Temps pleinJob 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...
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PhD Position in Trustworthy AI Hardware Architectures
il y a 2 semaines
Rennes, Bretagne, France Inria Temps pleinAbout 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...
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PhD Position in Trustworthy AI Hardware Architectures
il y a 1 mois
Rennes, Bretagne, France INRIA Temps pleinJob 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. This PhD position aims to investigate the impact of hardware faults on AI decisions and develop fault-tolerant AI hardware architectures.Research ObjectivesThe PhD...
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PhD Position in Trustworthy AI Hardware Architectures
il y a 2 semaines
Rennes, Bretagne, France Inria Temps pleinAbout the Research OpportunityWe are seeking a highly motivated PhD student to join our research team at Inria Rennes - Bretagne Atlantique Centre. The goal of this PhD thesis is to investigate the impact of hardware faults on AI decisions and algorithms developed to explain AI models.The successful candidate will analyze the possible failure mechanisms...
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PhD Position in Trustworthy AI Hardware Architectures
il y a 2 semaines
Rennes, Bretagne, France INRIA Temps pleinContext 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...
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Reliable AI Hardware Architectures PhD Researcher
il y a 3 semaines
Rennes, Bretagne, France Inria Temps pleinPhD 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...
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PhD Position F/M Trustworthy AI Hardware Architectures
il y a 1 mois
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PhD Position in Trustworthy AI Hardware Architectures
il y a 2 semaines
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PhD Position in Trustworthy AI Hardware Architectures
il y a 1 semaine
Rennes, Bretagne, France INRIA Temps pleinContext 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...
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PhD Position in Trustworthy AI Hardware Architectures
il y a 2 semaines
Rennes, Bretagne, France INRIA Temps pleinContext 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...
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PhD Position in Trustworthy AI Hardware Architectures
il y a 4 semaines
Rennes, Bretagne, France Inria Temps pleinAbout the Centre or DepartmentInria Rennes - Bretagne Atlantique Centre is one of Inria's eight centres and has more than thirty research teams. The Inria Centre is a major and recognized player in the field of digital sciences. It is at the heart of a rich R&D and innovation ecosystem: highly innovative PMEs, large industrial groups, competitiveness...
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PhD Position in Trustworthy AI Hardware Architectures
il y a 2 semaines
Rennes, Bretagne, France INRIA Temps pleinContext 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...
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PhD in AI Hardware Fault Tolerance
il y a 2 semaines
Rennes, Bretagne, France Inria Temps pleinPhD Position in AI Hardware Fault ToleranceWe are seeking a highly motivated PhD student to join our research team at Inria Rennes - Bretagne Atlantique Centre. The goal of this PhD thesis is to investigate the impact of hardware faults on AI decisions and algorithms developed to explain AI models.The successful candidate will analyze the possible failure...
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PhD Researcher in Fault-Tolerant AI Hardware
il y a 2 semaines
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Rennes, Bretagne, France INRIA Temps pleinContext 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...
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PhD Position F/M Reliable Deep Neural Network Hardware Accelerators
il y a 2 semaines
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Rennes, Bretagne, France INRIA Temps pleinContext 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. The goal of this PhD thesis is to design and develop an optimized algorithm-level fault injection framework to assess the resiliency of DNN hardware accelerators to hardware...
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PhD Position F/M Reliable Deep Neural Network Hardware Accelerators
il y a 2 semaines
Rennes, Bretagne, France INRIA Temps pleinContext 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...
PhD Position: Trustworthy AI Hardware Architectures
Il y a 2 mois
Context and Objectives
The increasing demand for Artificial Intelligence (AI) applications deployed at the edge, rather than solely in the cloud, presents both opportunities and challenges. This shift aims to address concerns related to data privacy, bandwidth limitations, energy consumption, and latency requirements, particularly crucial for real-time applications like autonomous driving, medical diagnosis, smart grids, and predictive maintenance.
To support these demanding AI workloads, there is a surge in the development of specialized Artificial Intelligence Hardware (AI-HW) architectures. These architectures must efficiently handle data movement, computation speed, and substantial memory resources to unlock AI's full potential. Furthermore, explainable AI (XAI), which aims to make AI decisions transparent and understandable, is gaining importance.
Your Role:
We are seeking a highly motivated PhD candidate to contribute to research on trustworthy AI hardware architectures. Your work will focus on developing fault-tolerant AI-HW designs that maintain energy efficiency while ensuring reliable and explainable AI operations at the edge.
Responsibilities:
- Design and implement fault-tolerant AI hardware architectures using VHDL/Verilog or similar languages.
- Explore High Level Synthesis (HLS) techniques for efficient implementation of AI algorithms on hardware.
- Develop and evaluate novel techniques for integrating XAI mechanisms into AI hardware designs.
- Collaborate with researchers in computer architecture, machine learning, and embedded systems.
- Contribute to publications in top-tier conferences and journals.
Qualifications:
- Master's degree (or equivalent) in Computer Science, Computer Engineering, or Electrical Engineering.
- Strong understanding of computer architectures and embedded systems.
- Familiarity with machine learning frameworks such as PyTorch or TensorFlow.
- Basic knowledge of hardware design languages like VHDL/Verilog.
- Proficiency in programming languages such as C/C++ and Python.
- Excellent communication and teamwork skills.
Benefits:
- Subsidized meals.
- Partial reimbursement of public transport costs.
- Possibility of teleworking (90 days per year) and flexible working hours.
- Partial payment of insurance costs.
Remuneration:
Monthly gross salary amounting to €2,100 for the first and second years and €2,200 for the third year.
