Postdoctoral Scientist Positions in AI-Driven Optimization and Multi-Agent Path Planning at Amazon Robotics Amazon Robotics in United States

The Fleet Science team at Amazon Robotics has two open postdoctoral positions focused on cutting-edge research in Computer Science, Robotics, and Mathematics. These roles sit at the intersection of AI, optimization, planning, and large-scale robotic systems, with the opportunity to work on problems deployed in the world’s largest fleet of mobile robots.

Position 1: AI-Driven Optimization of Operations Workflows for Robotic Fulfillment
Research topics include automated optimization formulation using natural language, intelligent solver configuration with LLMs and AI, and fleet-level AI for dynamic task allocation across large robot fleets in real time.

Position 2: Multi-Agent Path Planning & Explainable AI
Research topics include multi-agent path planning using learning and optimal transport, plus explainability and interpretability techniques for foundation models.

Postdocs will work closely with senior science advisors and collaborate with scientists and engineers across Amazon Robotics. The post highlights publication opportunities in top-tier academic venues and a chance to have impact at Amazon scale.

Eligibility highlights: the announcement is aimed at strong Ph.D. students or recent graduates. No deadline, funding amount, or formal degree requirements are specified in the post.

How to apply: follow the Amazon.jobs links provided in the post for the relevant postdoctoral scientist openings. You may also DM Pratap Tokekar for more information.