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29 Amazon Research Awards recipients announced

Awardees, who represent 25 universities in seven countries, have access to Amazon public datasets, along with AWS AI/ML services and tools.

By Amazon Research Awards team
January 30, 2023
4 min read
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Amazon Research Awards (ARA) provides unrestricted funds and AWS Promotional Credits to academic researchers investigating various research topics in multiple disciplines. This cycle, ARA received many excellent research proposals from across the world and today is publicly announcing 29 award recipients who represent 25 universities in seven countries.

This announcement includes awards funded under five call for proposals during the spring 2022 cycle: AI for Information Security, Alexa – Fairness in AI, Amazon Advertising, Amazon Science Community and Machine Learning University, and AWS AI: Human-in-the-loop machine learning and annotation.

Proposals were reviewed for the quality of their scientific content and their potential to impact both the research community and society.

Recipients have access to more than 300 Amazon public datasets and can utilize AWS AI/ML services and tools through their AWS Promotional Credits. Recipients also are assigned an Amazon research contact who offers consultation and advice, along with opportunities to participate in Amazon events and training sessions.

Additionally, Amazon encourages the publication of research results, presentations of research at Amazon offices worldwide, and the release of related code under open-source licenses.

“Scientists and engineers are at their best when they’re inventing on behalf of customers," said Brent Werness, manager of applied science with Machine Learning University. "But how does that invention happen? And what can we do to help scientists and engineers do their best work? Answering these questions requires a sustained, interdisciplinary research agenda, and our 2022 Amazon Research Award recipients will take one more step toward understanding.”

Top row, left to right: Vardan Avagyan, Yakov Bart, Stevie Chancellor, Muhao Chen, Bas Donkers, Chuang Gan, Diego Gomez-Zara; second row, left to right: Omer Levy, Zhou Li, Vidya Muthukumar, Gijs Overgoor, Ashwin Pananjady, Xiao Qiao, Christian Schlereth; third row, left to right: Shuba Srinivasan, Damien Teney, Misha Teplitskiy, Berk Ustun, Dashun Wang, Xiaolong Wang, Yang Weng; and bottom row, left to right: Eric Xing, Diyi Yang, Gokhan Yildirim, Heng Yin, and Hanzhe Zhang are among the recipients from the Amazon Research Awards Spring 2022 call for proposals.
Top row, left to right: Vardan Avagyan, Yakov Bart, Stevie Chancellor, Muhao Chen, Bas Donkers, Chuang Gan, Diego Gomez-Zara; second row, left to right: Omer Levy, Zhou Li, Vidya Muthukumar, Gijs Overgoor, Ashwin Pananjady, Xiao Qiao, Christian Schlereth; third row, left to right: Shuba Srinivasan, Damien Teney, Misha Teplitskiy, Berk Ustun, Dashun Wang, Xiaolong Wang, Yang Weng; and bottom row, left to right: Eric Xing, Diyi Yang, Gokhan Yildirim, Heng Yin, and Hanzhe Zhang are among the recipients from the Amazon Research Awards Spring 2022 call for proposals.

ARA funds proposals two times a year in a variety of research areas. Applicants are encouraged to visit the ARA call for proposals page for more information or send an email to be notified of future open calls.

The table below lists, in alphabetical order, spring 2022 cycle call-for-proposal recipients.

Recipient

University

Research title

Vardan Avagyan

Erasmus University Rotterdam

Role of consumer mindset metrics in optimal ad decisions

Yakov Bart

Northeastern University

Using video summarization for generating effective short video ads

Amrit Singh Bedi

University of Maryland, College Park

Ensuring fairness via federated learning beyond consensus

Stevie Chancellor

University of Minnesota, Twin Cities

Collaborative and socially translucent task instructions for emotionally heavy and subjective annotation tasks

Muhao Chen

University of Southern California

On faithfulness of information extraction

Bas Donkers

Erasmus University Netherlands

Real-time personalization in dynamic environments

Chuang Gan

UMass Amherst

Auto-labeling through neuro-symbolic learning for visual and text data

Diego Gomez-Zara

University Of Notre Dame

Creating and designing disruptive teams: Experiments and models for assessing teams’ disruption

Pallassana (P. K.) Kannan

University of Maryland College Park

Measuring the synergy across marketing touchpoints using transformers

Omer Levy

Tel Aviv University

Explaining and mitigating adverse biases in large language models via natural language instructions

Zhou Li

University Of California, Irvine

Accurate, scalable and robust attack provenance on discrete temporal graph

Dinesh Manocha

University of Maryland, College Park

Ensuring fairness via federated learning beyond consensus

Vidya Muthukumar

Georgia Institute of Technology

Framework for learning from online bidding

Gijs Overgoor

Rochester Institute Of Technology

Using video summarization for generating effective short video ads

Ashwin Pananjady

Georgia Institute of Technology

Framework for learning from online bidding

Xiao Qiao

City University of Hong Kong

Predicting successful scientific collaborations

Christian Schlereth

WHU Germany Otto Beisheim School of Management

The power of the climate friendly badge

Shuba Srinivasan

Boston University

Role of consumer mindset metrics in optimal ad decisions

Damien Teney

Idiap Research Institute

Addressing underspecification for improved fairness and robustness in conversational AI

Misha Teplitskiy

University of Michigan

Learning by reviewing

Berk Ustun

University of California, San Diego

Participatory personalization in machine learning

Dashun Wang

Northwestern University

Creating and designing disruptive teams: Experiments and models for assessing teams’ disruption

Xiaolong Wang

University of California, San Diego

Open world object discovery and tracking with grouping vision transformers

Yang Weng

Arizona State University

Reinforcement learning twins: granular level recommendations with causal interpretations on amazon assortment via limited tests

Eric Xing

Carnegie Mellon University

A faster and more accurate secure model serving framework on the cloud

Diyi Yang

Stanford University

Human-in-the-loop for long text generation

Gokhan Yildirim

Imperial College London

Role of consumer mindset metrics in optimal ad decisions

Heng Yin

University of California, Riverside

Next-generation AI-powered binary diffing

Hanzhe Zhang

Michigan State University

Predicting successful scientific collaborations
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2027 Quantum Applied Science Internship, Quantum Technologies team
US, CA, Pasadena
The Amazon Web Services (AWS) Center for Quantum Computing (CQC) is a multi-disciplinary team of theoretical and experimental physicists, materials scientists, and hardware and software engineers on a mission to develop a fault-tolerant quantum computer. Throughout your internship journey, you'll have access to unparalleled resources, including state-of-the-art computing infrastructure, cutting-edge research papers, and mentorship from industry luminaries. This immersive experience will not only sharpen your technical skills but also cultivate your ability to think critically, communicate effectively, and thrive in a fast-paced, innovative environment where bold ideas are celebrated. Join us at the forefront of applied science, where your contributions will shape the future of Quantum Computing and propel humanity forward. Seize this extraordinary opportunity to learn, grow, and leave an indelible mark on the world of technology. Amazon has positions available for Quantum Research Science and Applied Science Internships in San Francisco, CA; Santa Clara, CA; Pasadena, CA; and Boston, MA. We are particularly interested in candidates with expertise in any of the following areas: superconducting qubits, cavity/circuit QED, quantum optics, open quantum systems, superconductivity, electromagnetic simulations of superconducting circuits, microwave engineering, benchmarking, quantum error correction, fabrication, etc. Key job responsibilities In this role, you will work alongside global experts to develop and implement novel, scalable solutions that advance the state-of-the-art in the areas of quantum computing. You will tackle challenging, groundbreaking research problems, work with leading edge technology, focus on highly targeted customer use-cases, and launch products that solve problems for Amazon customers. The ideal candidate should possess the ability to work collaboratively with diverse groups and cross-functional teams to solve complex problems and to communicate research findings clearly. A successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail and the ability to thrive in a fast-paced, ever-changing environment. Leverage AI-powered tools where applicable to accelerate research, experimentation, and prototyping. Critically review and validate outputs from AI tools and automated systems. About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
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