Get to know the Amazon research community at IROS 2019!
Amazon’s research teams are looking forward to meeting you at IROS 2019!
Come and visit us at the Amazon booth, and read on for more information about academic collaboration, career opportunities, and our teams.
Here is how Amazon is participating at IROS
Robotics in a day: ROS, ROL, AWS RoboMaker - Gabriel Lopes, Ray Zhu, Douglas Fulop, Carlos Hernandez Corbato
Adaptive Leader-Follower Formation Control and Obstacle Avoidance Via Deep Reinforcement Learning - Yanlin Zhou, Fan Lu, George Pu, Xiyao Ma, Runhan Sun, Hsi-Yuan Chen, Xiaolin Li
Ignorance Is Not Bliss: An Analysis of Cetnral-Place Foraging Algorithms - Abhinav Aggarwal, Diksha Gupta, William Vining, George Matthew Fricke, Melanie Moses
Rapid Trajectory Optimization Using C-FROST with Illustration on a Cassie-Series Dynamic Walking Biped - Ayonga Hereid, Omar Harib, Ross Hartley, Yukai Gong, J.W. Grizzle
Internships for PhD Students
We offer 3-6 month internships year-round, with opportunities in Aachen, Atlanta, Austin, Bangalore, Barcelona, Berlin, Boston, Cambridge, Cupertino, Graz, Haifa, Herzliya, Manhattan Beach, New York, Palo Alto, Pasadena, Pittsburgh, San Francisco, Shanghai, Seattle, Sunnyvale, Tel Aviv, Tübingen, Turin, and Vancouver. To apply, email your resume to IROS2019@amazon.com, and let us know if there are any specific locations, teams, or research leaders that you are interested in working with.
Job Opportunities for Graduating Students and Experienced Researchers
We are looking for results-driven individuals who apply advanced computer vision and machine learning techniques, love to work with data, are deeply technical, and highly innovative. If you long for the opportunity to invent and build solutions to challenging problems that directly impact the way Amazon transforms the consumer experience, we are the place for you. To apply, email your resume to IROS2019@amazon.com and let us know if there are any specific locations, teams, or research leaders that you are interested in working with.
Amazon Scholars is a new program for academic leaders to work with Amazon in a flexible capacity, ranging from part-time to full-time research roles. Learn more at amazon.jobs/scholars.
BAIR Lab Opening
Amazon & the University of California Berkeley ARtificial Intelligence Research (BAIR) Lab Partnered to open the BAIR Open Research Commons, a new industrial affiliate program launched to accelerate cutting-edge AI research. The BAIR Commons is designed to streamline collaborative, cutting-edge research by students, faculty, and corporate research scholars.
Amazon and NSF Collaborate to Accelerate Fairness in AI Research
NSF and Amazon are partnering to jointly support computational research focused on fairness in AI, with the goal of contributing to trustworthy AI systems that are readily accepted and deployed to tackle grand challenges facing society. NSF has long supported transformative research in artificial intelligence (AI) and machine learning (ML). The resulting innovations offer new levels of economic opportunity and growth, safety and security, and health and wellness.
Check out the details here.
Amazon Web Services (AWS) Research Grants
In partnership with Machine Learning@Amazon, AWS offers up to $20,000 in compute tokens each quarter to professors and students. Academics have used these grants for projects ranging from Hack End weekends to massive MRI imaging projects. AWS provides building blocks for developing applications ranging from Elastic MapReduce for Hadoop analytics to fast and scalable storage with Amazon DynamoDB. Learn more & apply here.
Amazon Research Awards
ARA is an unrestricted gift to recognize exceptional faculty, and fund projects leading toward a PhD degree or conducted as a part of post-doctoral work. Each selected proposal is assigned an Amazon research contact, as we believe that both sides benefit from direct interaction on the topic of their research. We invite ARA recipients to visit Amazon offices worldwide to give talks related to their work and meet with our research groups face-to-face. We encourage ARA recipients to publish the outcome of the project and commit any related code to open source code repositories. Learn more here.
Applications will be open on September 10th, 2019 with a submission deadline of October 4, 2019. Announcements will be out in December.
- Computer vision
- Fairness in artificial intelligence
- Knowledge management and data quality
- Machine learning algorithms and theory
- Natural language processing
- Online advertising
- Operations research and optimization
- Search and information retrieval
- Security, privacy and abuse prevention
Publishing at Amazon
Amazon is committed to innovating at the frontiers of machine learning and artificial intelligence. Our scientists are encouraged to engage in the research community in the form of written publications, open source code and public datasets. We have instituted a new, fast-track publication approval process, to help share our research efforts as quickly as possible, while maintaining the highest standards of quality. Check out some of our most recent publications here.
Diversity at Amazon
We are a company of builders working on behalf of a global customer base. Diversity is core to our leadership principles, as we seek diverse perspectives so that we can be “Right, A Lot”. We welcome people from all backgrounds and perspectives to innovate with us. Learn more at amazon.com/diversity.
Questions about career opportunities or academic partnerships? Contact us at IROS2019@amazon.com.
Robotics at Amazon
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