Amazon

DESCRIPTION

Amazon is looking for talented Postdoctoral Scientists to join our Decision Science and Technology team for a one-year, full-time research position.

The Decision Science & Technology (DST) team works at improving the efficiency of Reliability & Maintenance Engineering (RME) activities, reduce costs, increase safety and promote sustainability while creating frictionless customer experiences.

Our work is articulated around three main programs and their respective goals:

SCIENCE: We develop data driven decision tools for improving reliability and effectiveness of RME activities. We rely on the use of state-of-the-art methods and tools in Operations Research and Machine Learning.

SPARE PARTS: We ensure that RME has the right parts available for maintenance, at the right time, and in the right quantity.

KNOWLEDGE EXPERIENCE & TECHNOLOGY: We develop solutions to proactively connect people to the knowledge they need to perform their work in a more effective and safe way.

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.

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

Luxembourg, LUX

BASIC QUALIFICATIONS

• PhD in a relevant field, received within 2 years of starting the program
• Proven publication record in Operations Research, Machine Learning, Robotics, Computer Vision, AI, Computer Science, Econ, 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

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.