The information below is from the 2018-2019 request for proposals. Please see the opportunity website for updated information.
Amazon and the UCLA Department of Computational Medicine are engaging in a partnership in Machine Learning in Biomedical Sciences. Supported by a gift from Amazon, the collaboration will enable UCLA researchers to utilize large-scale computational resources to advance machine learning research in medically relevant applications.
They invite research proposals that leverage large-scale computing to develop and apply machine learning algorithms to medically relevant problems. Applicants should submit a one-page proposal that includes a project summary and a statement addressing how the project addresses each of the following three criteria, which will be used to evaluate applications:
1. Solves a medically relevant problem
2. Innovative methodological machine learning research
3. Leverages large-scale computing resources
See the program solicitation on the application home page for additional information regarding the evaluation criteria.
Award Amount and Details
The proposal should also include a quarterly budget to be used for computing resources. Project budgets are to be capped at $50,000 of compute costs. If a project needs more computing, the project can apply for additional funding with an expedited review at a time when the project has come close to spending the $50,000.
Deadlines and Date Information
The due date listed above is the most recent due date our office is aware of. Please see the opportunity home page for information about potential upcoming deadlines or other opportunities.
Applications are due via email by 5pm PDT on December 14, 2018.
One-inch margins and 11 point or greater font should be used.
A single pdf containing all the application material should be emailed to both Jason Ernst (jason.ernst@ucla.edu) and Sriram Sankararaman (sriram@cs.ucla.edu).
Review and selection of applications will be done by a committee.
Eligibility Information
Applications from teams of individuals are allowed, but a single primary contact should be designated.
