Amazon is looking for talented Postdoctoral Scientists to join our AR R&D for a one-year, full-time research position.

The research work for this position will focus on path planning and optimization techniques responsible for guiding large fleets of autonomous mobile robots operating collaboratively with people. The work will have the opportunity to address a wide range of topics such as global path optimality guarantees, global representations for dynamic environments, trajectory optimization considering fleet-level constraints, optimization of traffic flow, and multi-agent coordination. This position will uniquely provide the opportunity to work on a key component that will improve the performance of large fleets of robots. The selected candidate will interact with a diverse scientific group of data scientists, motion planning and AI scientists, and a large community of robotics scientists at Amazon, which include world-renowned academics with Amazon appointments.

Key job responsibilities

• \tWork closely with a senior science advisor, collaborate with other scientists and engineers, and be part of Amazon's vibrant and diverse global science community.

• \tPublish your innovation in top-tier academic venues and hone your presentation skills.

• \tBe inspired by challenges and opportunities to invent cutting-edge techniques in your area(s) of expertise.

We are open to hiring candidates to work out of one of the following locations:

Boston, MA, USA | North Reading, MA, USA

BASIC QUALIFICATIONS

• \tPhD in a relevant field, received within 2 years of starting the program

• Proven publication record in Path Planning and Optimization

• \tPublications in related topics in Machine Learning, Robotics, Computer Vision, AI, Computer Science, Econ, Reinforcement Learning or other related technical fields

• \tExperience in data science and quantitative research

• \tProficiency in technologies relevant to the subfield

PREFERRED QUALIFICATIONS

• \tAbility to independently deliver results in a fast-paced environment

• \tPublications at top-tier, peer-reviewed conferences and/or journals

• \tExceptional verbal and written communication skills

• \tExpert knowledge in modeling and performance, operationalization, and scalability of scientific techniques and establishing decision strategies

Required application materials:

• \tCV, which lists all peer-reviewed publications and conferences,

• \tResearch statement that outlines your research achievements and future research interests, and

• \tA journal article or book chapter that demonstrates your domain expertise.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

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