Postdoctoral Research Visit F/M Distributed Machine Learning at the Network Edge
il y a 2 semaines
About the Postdoctoral Research Position
The 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 is part of the EU-funded project dAIEDGE, which aims to establish a network of excellence for distributed, trustworthy, efficient, and scalable AI at the edge.
Key Responsibilities
- Conduct research on distributed machine learning and its applications in edge environments
- Design and develop novel machine learning algorithms and systems for efficient and effective operation in distributed edge environments
- Collaborate with PhD students and other researchers on the project
Requirements
- Ph.D. in Applied Mathematics, Computer Science, or a closely related discipline
- Strong background in machine learning and optimization
- Excellent programming skills, preferably in PyTorch or TensorFlow
Benefits
- Subsidized meals
- Partial reimbursement of public transport costs
- Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.)
- Possibility of teleworking and flexible organization of working hours
- Professional equipment available (videoconferencing, loan of computer equipment, etc.)
Salary
Gross Salary: 2746 € per month
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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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