Research

Facebook is pleased to invite university faculty to respond to this call for research proposals on hardware and software systems; a total of 5 awards are available. During this proposal cycle, Facebook is especially interested in soliciting proposals for research at the intersection of computer systems and machine learning, including, but not limited to:

• Machine learning benchmarks (especially beyond computer vision)
• Workload characterization tools and techniques for machine learning applications
• Hardware architectures for efficient and scalable machine learning
• Machine learning frameworks and compiler flows to facilitate efficiency, portability, and inter-operability
• Techniques to facilitate machine learning on resource-constrained edge devices
• System impact of distributed training including issues related to compute, networking, and storage
• Approaches that apply machine learning for research in traditional hardware and software systems
• System analysis and optimization of machine learning approaches beyond deep learning

To apply

Applicants should submit a maximum 2 page proposal detailing what contribution their research is expected to make, how the research domain will benefit from the work, and a budget overview of how the proposed funding will be used. Proposals are highly encouraged to focus funding on project personnel, especially PhD students. Proposals from small collaborative teams, particularly with PIs bridging areas of Systems and ML, are also encouraged. Funding will be in the $30,000 to $50,000 range per proposal, depending on the specific requirements.

Payment

Payment will be made to the proposer’s host university as an unrestricted gift.