Opportunities from Amazon

The opportunities found on this page are strictly offered through Amazon and do not have any affiliation with the Science Hub or UCLA. 

Sustainability call for proposals – Fall 2025

Sustainability call for proposals – Fall 2025

At the forefront of sustainable device technology advancement, we seek proposals that help optimize device life cycle energy consumption and product carbon footprint through innovative technical solutions. Of particular interest are projects that illustrate measurable impact reduction in device manufacturing phase through supply chain decarbonization innovations or use phase through energy efficient compute or AI-assisted optimization techniques. The proposed solutions should demonstrate clear potential for industry-wide adoption and include comprehensive validation methodologies for measuring and verifying associated carbon impact reductions.

Cybersecurity Research and Anti-Abuse Technologies call for proposals – Fall 2025

Cybersecurity Research and Anti-Abuse Technologies call for proposals – Fall 2025

Amazon participates in a complex network – of individuals, processes, technologies, and organizations collaboratively safeguarding networks, devices, and data from cybersecurity threats. We seek to invest in research initiatives that effectively bridge the gap between internal fraud prevention measures and broader external security enhancements. We invite proposals in two key areas.

Build on Trainium: Responsible AI call for proposals – Fall 2025

Build on Trainium: Responsible AI call for proposals – Fall 2025

Build on Trainium is a $110MM credit program focused on AI research and university education to support the next generation of innovation and development on AWS Trainium. AWS Trainium chips are purpose-built for high-performance deep learning (DL) training of generative AI models, including large language models (LLMs) and latent diffusion models. Build on Trainium provides compute credits to novel AI research on Trainium, investing in leading academic teams to build innovations in critical areas including new model architectures, ML libraries, optimizations, large-scale distributed systems, and more.