Postdoctoral Scientist, Eu Science and Technology
il y a 5 jours
DESCRIPTION
Amazon is looking for talented Postdoctoral Scientists to join our team for a one-year, full-time research position.
EU STEP brings together Supply Chain, Network Design, and Transportation Planning teams to improve end-to-end forecasting, network flow, planning, and execution. It also brings together our teams from across the business focused on our Operational Excellence pillars - Amazon Customer Excellence Systems (ACES), Learning, Quality, Service, Sustainability and Reliability Maintenance Engineering (RME) Field teams. This integration strengthens operations and execution while driving quality improvements and enhanced customer experience across the entire value chain.
We work backwards from Amazon's customers aiming to make transportation faster, cheaper, safer, more reliable and ecologically sustainable with the technological advances we offer. To that end, we split our time between short-term deliveries focused on business and long-term research that prepare Amazon for the future. Our skills lie in the area of machine learning and optimization; and know how to code efficient algorithmic science solutions. In this position we focus on Demand Forecast for Scheduling and Capacity Management, which includes the subproblems of origin-destination forecasting, week over week end-to-end network demand flow estimation, hour per hour forecast refresh.
In this role you will:
- Work closely with a senior science advisor, collaborate with other scientists and engineers, and be part of Amazon’s vibrant and diverse global science community.
- Publish your innovation in top-tier academic venues and hone your presentation skills.
- Be inspired by challenges and opportunities to invent cutting-edge techniques in your area(s) of expertise.
BASIC QUALIFICATIONS
- PhD in a relevant field, received within 2 years of starting the program
- Proven publication record in Machine Learning, Robotics, Computer Vision, AI, Computer Science, Econ, Operations Research, or other related technical fields
- Experience in data science and quantitative research
- Proficiency in technologies relevant to the subfield
PREFERRED QUALIFICATIONS
- Ability to independently deliver results in a fast-paced environment
- Publications at top-tier, peer-reviewed conferences and/or journals
- Exceptional verbal and written communication skills
- Expert knowledge in modeling and performance, operationalization, and scalability of scientific techniques and establishing decision strategies
Job details
- LUX, Luxembourg
- Machine Learning Science
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