Postdoc: Shape Edge AI with Adaptive Model Placement

Inria Palaiseau; Palaiseau; On-site; EUR 32,000 - 42,000; Full time

Job summary

1000scholars seeks a postdoctoral researcher to study AI model placement in IDNs, balancing model effectiveness, latency, and resource dynamics. You will work within a vibrant collaboration between Inria Saclay and Nokia AIRL to push forward multi-objective optimization and online learning for distributed inference across heterogeneous nodes.

The role involves synthesizing literature, conducting cutting-edge networking-AI research, and publishing in top venues.

Qualifications

• Solid understanding of networking principles.
• Experience with AI and networking research.
• Ability to design and implement algorithms.
• Strong written and verbal communication.

Responsibilities

• Read and synthesize literature and state-of-the-art research.
• Conduct cutting-edge research at the intersection of networking and AI.
• Propose novel approaches for AI model placement.
• Write research papers for top-tier conferences and journals.
• Disseminate findings through talks and seminars.

Skills

Networking fundamentals

Programming for AI/Networking

Libraries & frameworks

Algorithms design

Optimization techniques

Communication skills

Team collaboration

Tools

Python

PyTorch

TensorFlow

Job description

1000scholars seeks a postdoctoral researcher to study AI model placement in IDNs, balancing model effectiveness, latency, and resource dynamics. You will work within a vibrant collaboration between Inria Saclay and Nokia AIRL to push forward multi-objective optimization and online learning for distributed inference across heterogeneous nodes.

The role involves synthesizing literature, conducting cutting-edge networking-AI research, and publishing in top venues.