Simons Foundation
Scientific Software Research Faculty Award
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The Simons Foundation's Scientific Software Research Faculty Award supports new faculty hires in the Mathematics and Physical Sciences division whose work centers on scientific software research. It is aimed at institutions creating or filling a faculty line in this area, with appointments required to start no later than September 1, 2028.
Details
| Funder | Simons Foundation |
| Deadline | 21 January 2027 |
| Consortium | No - individual applicant, hosted by a faculty institution |
Eligibility & scope
Supports new faculty appointments in scientific software research within the Mathematics and Physical Sciences (MPS) program, for appointments starting no later than September 1, 2028.
Who Should Apply
- •Academic institutions creating or filling a new faculty position
- •Faculty candidates working on scientific software research
- •Departments within Mathematics and Physical Sciences fields
- •Appointments plannable to start by September 1, 2028
Key Dates
- •Application deadline: 21 January 2027
- •Appointments must start no later than September 1, 2028
Tips for Applicants
- ✓Frame the appointment explicitly around scientific software research, not general computational science, to match the division's stated focus.
- ✓Since the start date can be as late as September 2028, use the lead time to build a strong hiring case rather than rushing a search.
Frequently Asked Questions
What does the Simons Foundation Scientific Software Research Faculty Award fund?
It funds new faculty appointments focused on scientific software research within the Mathematics and Physical Sciences division.
When is the deadline for this Simons Foundation award?
The application deadline is 21 January 2027.
By when must the new faculty appointment start?
Appointments must start no later than September 1, 2028.
Who can apply for this award?
It is intended for institutions making new faculty appointments in scientific software research within Mathematics and Physical Sciences.
Summary generated by AI based on published grant information. Always verify details on the funder's website.
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