Postdoctoral Research Visit F/M Distributed Machine Learning at the Network Edge: Enhancing AI Ecosystems
il y a 4 semaines
Context and Challenges
We are seeking a postdoctoral researcher to join our team at INRIA to work on distributed machine learning at the edge. The successful candidate will be part of a research project focused on enhancing the European edge AI ecosystem.
Background and Motivations
The Internet was initially designed for time-sharing, but it has evolved to support content delivery. Today, it is poised to play a crucial role in pervasive machine learning (ML) operation for both model training and prediction serving. Two key drivers are driving this shift: data generation at the edge and real-time inference.
Data Generation at the Edge
Data is often generated by users and devices at the edge of the network, making it impractical to collect and process in the cloud. Distributed learning systems are necessary to move computation closer to the data, enabling efficient and scalable ML operations.
Real-Time Inference
As AI systems become ubiquitous, inference must run in real-time to make timely and safe decisions in unpredictable environments. Running models in the cloud may not meet delay constraints, making it imperative to deploy services closer to the user at the network edge.
Research Topics
We are looking for a postdoc candidate to work on one or more of the following topics:
- Distributed Inference
- Online Learning Algorithms with Regret Guarantees
- Distributed/Federated Learning
- Machine Learning Privacy
Responsibilities and Expectations
The postdoc will actively participate in the EU project dAIEDGE, attending meetings and coordinating INRIA's contribution to deliverables. They will also collaborate with PhD students working on related topics.
Requirements and Qualifications
Candidates must hold a Ph.D. in Applied Mathematics, Computer Science, or a closely related field, with evidence of research productivity. Strong mathematical background, knowledge of machine learning, and good programming skills are required. Previous experience with PyTorch or TensorFlow is a plus.
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Technopole de Sophia Antipolis, France INRIA Temps pleinAbout the Postdoctoral Research PositionThe postdoctoral research position in our team at INRIA is focused on distributed machine learning at the network edge. The successful candidate will work on designing and developing novel machine learning algorithms and systems that can operate efficiently and effectively in distributed edge environments. The position...
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Technopole de Sophia Antipolis, France INRIA Temps pleinJob DescriptionWe are seeking a highly motivated postdoctoral researcher to join our team at INRIA to work on distributed machine learning at the network edge. The position is part of the EU-funded project dAIEDGE, which aims to develop distributed, trustworthy, efficient, and scalable AI at the Edge.The successful candidate will work with our team to...
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Technopole de Sophia Antipolis, France INRIA Temps pleinJob Context and RequirementsThe position is part of the dAIEDGE project, a network of excellence for distributed, trustworthy, efficient, and scalable AI at the Edge, funded by the European Union.The dAIEDGE Network of Excellence aims to strengthen and support the development of the dynamic European edge AI ecosystem under the umbrella of the European AI...
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