Luxembourg Job Openings

Amazon EU Sarl

Amazon Postdoctoral Scientist, EU ATS Science and Tech - Optimization

Luxembourg

FULL TIME

November 29, 2024

  • Ph D in a relevant field, received within 2 years of starting the program
  • Proven publication record in Operation Research, Management Science, Statistics, Machine Learning, Computer Science, Econ, or other related technical fields
  • Experience in data science and quantitative research
  • Proficiency in technologies relevant to the subfield
The Amazon Postdoctoral Science Program provides recent Ph D graduates with a formal avenue to gain industry experience, apply their subject matter expertise, and gain mentorship from established Amazon scientists. Postdoctoral scientists will explore new research ideas, accelerate scientific innovation and impact, and publish their work in peer-reviewed scientific literature.

The program is designed for individuals who received their Ph D in the past two years and want to gain industry experience. The program advances postdoctoral scientists’ career development through industry exposure, publishing research, and mentorship from the Amazon Science community.

“This program provides an excellent and fun opportunity to work on cutting-edge customer-obsessed research and learn from and collaborate with some of the brightest researchers and leading experts at Amazon,” said Sareh Nabi, a postdoctoral scientist in Amazon Ads who is participating in a postdoc pilot program. “It also provides a great platform to take the skillset I learned and apply it to a wide range of real-world applications on a large scale.”

“This is an opportunity for outstanding researchers to work with us on our hardest scientific challenges,” said Jeremy Wyatt, senior manager of Amazon Robotics AI. “Amazon postdoctoral scientists will pursue exploratory work on our hardest problems, gaining industry experience and publishing the results in the best scientific venues.”

In Sn T Optimization research team, part of Amazon Transportation Services, we are seeking a Postdoctoral Scientist with Operations Research, Computer Science or Applied Mathematics background, to join our team in the EU Headquarters in Luxembourg, for one-plus-one year. As a key member of our science team, you will be responsible for designing and implementing beyond state of the art algorithmic frameworks that optimize the middle-mile Amazon Transportation Network. Our work ensures that our end-to-end strategies in terms of customer demand fulfillment are reliable, robust and efficient.

Key job responsibilities

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.
Postdocs demonstrate the following preferred job 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
Required application materials:
  • CV, which lists all peer-reviewed publications and conferences,
  • Research statement that outlines your research achievements and future research interests, and
  • A journal article or book chapter that demonstrates your domain expertise.
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
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