[LOGOS] Fwd: [CSE Faculty List] Amazon funding opportunity: Research Awards Spring 2025

Wed Apr 2 15:16:40 PDT 2025

Does anyone have any contact at Amazon for LOGOS-related work?

--
Prof. Emiliano De Cristofaro
Computer Science and Engineering
University of California, Riverside
https://emilianodc.com

---------- Forwarded message ---------
From: Brandon Reese <breese at engr.ucr.edu>
Date: Wed, Mar 26, 2025 at 2:43 PM
Subject: [CSE Faculty List] Amazon funding opportunity: Research Awards
Spring 2025
To: coeteachers at engr.ucr.edu <coeteachers at engr.ucr.edu>,
coeprofs at engr.ucr.edu <coeprofs at engr.ucr.edu>, certpi at cert.ucr.edu <
certpi at cert.ucr.edu>
Cc: Huguette Albrecht <halbrecht at engr.ucr.edu>, Aimee Anaya <
aanaya at engr.ucr.edu>, Lucy Matsukawa <lmats003 at engr.ucr.edu>

*Amazon: Research Awards Spring 2025*

The Amazon Research Awards (ARA) program funds academic research and
related contributions to open-source projects by top academic researchers
around the world. ARA funds in a variety of research areas relevant to
Amazon, such as applied machine learning, automated reasoning, computer
vision, fairness in artificial intelligence, machine learning algorithms
and theory, natural language processing, robotics, security, sustainability
and more.

Proposals will be reviewed for the quality of their scientific content,
creativity, and their potential for impact at scale. Proposals related to
theory, practice, and novel techniques are all welcome. ARA provides grant
recipients unrestricted funds and AWS promotional credits. Funded projects
are assigned an Amazon research contact who offers consultation and advice
along with opportunities to participate in Amazon events and training
sessions, and recipients also receive training resources, including AWS
tutorials and hands-on sessions with Amazon scientists and engineers.

For the Spring 2025 call for proposals, ARA is focusing on four research
areas:

*AI for Information Security
<https://www.amazon.science/research-awards/call-for-proposals/ai-for-information-security-call-for-proposals-spring-2025>*

ARA is seeking to fund AI research on the following topics in information
security:

   1. Agentic AI for security
   2. Generative AI and foundation models for information security
   3. Securing generative AI and foundation models
   4. Threat, intrusion and anomaly detection for cloud security
   5. Vulnerability detection and remediation using AI
   6. Incident response using AI
   7. Reinforcement learning for information security
   8. Learning with limited/noisy labels and weakly supervised learning
   9. Graph modeling and anomaly detection on graphs
   10. ML for malware analysis and detection, with a focus on cloud
   environments or devices

Budget:

·         Unrestricted funds, no more than $80,000 USD on average

·         AWS Promotional Credits, no more than $40,000 USD on average

URL:
https://www.amazon.science/research-awards/call-for-proposals/ai-for-information-security-call-for-proposals-spring-2025

*Amazon Ads*

ARA welcomes proposals *in the context of digital advertising* in the
following research tracks:

   1. Fraud, Abuse, and financial scams
   2. Behavioral foundational models to distinguish human and bot behavior
   3. Multi-modal classification of online content and websites
   4. Device and website identification
   5. Detection of plagiarized content
   6. Cyber threat activity, malicious and adversarial misuse of AI and LLMs
   7. Decentralized identifiers, verifiable credentials, data lineage and
   transparency
   8. Large language models for labeling, annotation and auditing of model
   performance
   9. Detection and mitigation of hallucination in LLMs for content
   analysis
   10. Protection of vulnerable individuals, specially child and teen safety

Budget:

·         Unrestricted funds, no more than $80,000 USD on average

·         AWS Promotional Credits, no more than $40,000 USD on average

URL:
https://www.amazon.science/research-awards/call-for-proposals/amazon-ads-call-for-proposals-spring-2025

*Build on Trainium*

Key topics *Build on Trainium* is exploring to drive innovation and enhance
the future of AI/ML on AWS:

   1. Novel kernels and compiler extensions for Trainium
   2. Novel algorithms for large language models
   3. Systems improvements for distributed training and hosting
   4. Streamline development

Budget: Applicants are encouraged to request AWS Promotional Credits in one
of two ranges:

·         AWS Promotional Credits, up to $50,000

·         AWS Promotional Credits, up to $250,000 and beyond

URL:
https://www.amazon.science/research-awards/call-for-proposals/build-on-trainium-call-for-proposals-spring-2025

*Think Big*

Amazon invites ambitious research proposals that align with our commitment
to transformative innovation. Guided by our leadership principle to Think
Big - looking around corners and creating bold direction that inspires
results - we seek proposals across all scientific disciplines with
visionary, pioneering ideas. While proposals must be grounded in rigorous
scientific methodologies, we challenge researchers to transcend current
paradigms and envision revolutionary applications. This call specifically
targets research that might be considered speculative or contains
out-of-the-box thinking. We welcome proposals including, but not limited
to, ideas that:

   1. Challenge fundamental assumptions in your field
   2. Propose novel frameworks for solving long-standing problems
   3. Could enable order-of-magnitude improvements over current approaches
   4. Have the potential to create new technical capabilities
   5. Could open unexplored frontiers in science and technology

Budget:

·         Unrestricted funds, up to $100,000 USD

·         AWS Promotional Credits, no more than $70,000 USD on average

URL:
https://www.amazon.science/research-awards/call-for-proposals/think-big-call-for-proposals-spring-2025

*Budget and Project Period:* Budget varies per research area, see above.
Project period is one year

*Submission Deadline: *April 30

*Note that this is a research proposal. Approval of the final proposal
files by RED is required via Kuali no later than April 28.*

*For more information, go to: *https://www.amazon.science/research-awards

Brandon Reese

Grant Facilitator – UC Riverside, Bourns College of Engineering

breese at engr.ucr.edu

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