Amazon Launches New Postdoctoral Science Program

Location: Multiple Locations
Job Type: Full-Time
Employer: Amazon
Amazon announced the launch of the Amazon Postdoctoral Science Program (APS). The program provides recent PhD 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 Amazon Postdoctoral Science program is designed for individuals who received their PhD 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.

Applications are accepted from postdoctoral candidates in research areas including, but not limited to, the following: computer science, computer vision, conversational AI, data science, fairness in AI, machine learning, machine translation, operations research and optimization, natural language processing, search and information retrieval, responsible AI, and robotics AI.

Research Locations

Participants in the APS program are located in the same city as their respective team. Amazon has research hubs in cities around the globe; please reference specific postdoc job postings for team location information.

Details and Qualifications

APS roles are full-time, one-year commitments; postdocs cannot have dual employment during their time at Amazon.

The basic qualifications for the program are:

  • PhD in a relevant field, received within two years of starting the program;
  • Proven publication record;
  • Experience in data science and quantitative research; and
  • Proficiency in technologies relevant to the subfield

How to Apply

Please click here to view and apply for open postdoctoral positions. For additional information about the program, please reach out to This email address is being protected from spambots. You need JavaScript enabled to view it.. Candidates will be contacted if their expertise and experience align with current business needs; however, a response is not guaranteed.

Apply for this job

Post your job offer now to start hiring the best digital health talent! For further information, please contact us.

Most Popular Now

Philips Foundation 2024 Annual Report: E…

Marking its tenth anniversary, Philips Foundation released its 2024 Annual Report, highlighting a year in which the Philips Foundation helped provide access to quality healthcare for 46.5 million people around...

Giving Doctors an AI-Powered Head Start …

Detection of melanoma and a range of other skin diseases will be faster and more accurate with a new artificial intelligence (AI) powered tool that analyses multiple imaging types simultaneously...

Scientists Argue for More FDA Oversight …

An agile, transparent, and ethics-driven oversight system is needed for the U.S. Food and Drug Administration (FDA) to balance innovation with patient safety when it comes to artificial intelligence-driven medical...

New AI Transforms Radiology with Speed, …

A first-of-its-kind generative AI system, developed in-house at Northwestern Medicine, is revolutionizing radiology - boosting productivity, identifying life-threatening conditions in milliseconds and offering a breakthrough solution to the global radiologist...

AI Agents for Oncology

Clinical decision-making in oncology is challenging and requires the analysis of various data types - from medical imaging and genetic information to patient records and treatment guidelines. To effectively support...

New Research Finds Specific Learning Str…

If data used to train artificial intelligence models for medical applications, such as hospitals across the Greater Toronto Area, differs from the real-world data, it could lead to patient harm...

Start-ups in the Spotlight at MEDICA 202…

17 - 20 November 2025, Düsseldorf, Germany. MEDICA, the leading international trade fair and platform for healthcare innovations, will once again confirm its position as the world's number one hotspot for...

AI Medical Receptionist Modernizing Doct…

A virtual medical receptionist named "Cassie," developed through research at Texas A&M University, is transforming the way patients interact with health care providers. Cassie is a digital-human assistant created by Humanate...

AI Detects Hidden Heart Disease Using Ex…

Mass General Brigham researchers have developed a new AI tool in collaboration with the United States Department of Veterans Affairs (VA) to probe through previously collected CT scans and identify...

AI Tool Set to Transform Characterisatio…

A multinational team of researchers, co-led by the Garvan Institute of Medical Research, has developed and tested a new AI tool to better characterise the diversity of individual cells within...

MHP-Net: A Revolutionary AI Model for Ac…

Liver cancer is the sixth most common cancer globally and a leading cause of cancer-related deaths. Accurate segmentation of liver tumors is a crucial step for the management of the...

Human-AI Collectives Make the Most Accur…

Diagnostic errors are among the most serious problems in everyday medical practice. AI systems - especially large language models (LLMs) like ChatGPT-4, Gemini, or Claude 3 - offer new ways...