OVCRGE internal competition: Scientific Machine Learning for Complex Systems due Feb. 7
The following message is from the Office of the Vice Chancellor for Research and Graduate Education and was sent to Associate Deans for Research, Department Chairs and Administrators in the Biological and Physical Sciences, College/School Research Administrators.
DoE has released FOA Number: DE-FOA-0002958 Scientific Machine Learning for Complex Systems with a very short timeline for submission and limits the number of pre-applications to 4 per institution. Required pre-applications are due to DoE by March 1, 2023.
The DOE SC program in Advanced Scientific Computing Research (ASCR) hereby announces its interest in research applications to explore potentially high-impact approaches in the development and use of scientific machine learning (SciML) and artificial intelligence (AI) in the predictive modeling, simulation and analysis of complex systems and processes.
We ask that interested PIs submit the following information for internal review:
- PI name and department
- Names and affiliation of co-PIs, if applicable
- 1-2 page summary of proposed effort
Please share this information among PIs in your unit who are working in relevant research areas. Interested PIs should submit a single PDF with the requested information to firstname.lastname@example.org by Tuesday, February 7.
Questions? Contact email@example.com