Dreyfus Program for Machine learning in the Chemical Sciences and Engineering

The Dreyfus Program for Machine Learning in the Chemical Sciences and Engineering provides funding for innovative projects in any area of Machine Learning (ML) consistent with the Foundation’s broad objective to advance the chemical sciences and engineering. The Foundation anticipates that these projects will contribute new fundamental chemical understanding, insight, and innovation in the field.

The Foundation encourages proposals to significantly stimulate and accelerate the development of the use of ML and other related aspects of data science to the Chemical Sciences and Engineering. Below are some examples this program may support:

• molecular synthesis, including mechanisms, techniques, and applications
• theory, computation, physical properties of molecules or materials
• rates and mechanisms of new chemical processes
• new or improved materials and materials applications
• postdoctoral support for collaborations that combine chemical science research with ML expertise
• collaborative sabbaticals, extended visits, and meetings
• education, e.g., new courses, seminar series, MOOCs,…
• public libraries of chemistry and chemical engineering data for use in ML

Note that proposals are not restricted to the areas described above. The amount of support requested is determined by the applicant. Partial contributions to larger scale efforts will be considered. Charges associated with indirect costs or institutional overhead are not allowed. Award funds are intended for the purposes described in the proposal and any major changes in the project’s objectives, budget, or time frame require Foundation approval.

Application Instructions

Please submit:

1. a one-page letter of intent with a description of proposed aims and approach
2. Biosketch or CV of the PI (not NIH format)
3. A letter of support from the Dean or Chair. This letter of support signifies that the Dean or Chair have ensured that the nominee and application are likely to be of sufficient quality to be competitive nationally

to research@uw.edu by 5:00 PM Thursday, January 30, 2020. Proposals are due to the sponsor 4/2/20, so you will need to have your materials in to the Office of Sponsored Programs by 3/24/20 for processing, if given the go ahead by the Proposal Review Committee.