UQ Foundation Research Excellence Awards
Key dates for UQ Foundation Research Excellence Awards 2019
- Round opens: 3 April 2019
- Nominations due to relevant School or Centre/Institute: 1 May 2019
- Full nominations (UQ Research and Innovation (UQR&I) deadline): 27 May 2019
- Announcement: September 2019 Research Week
Overview
UQ Foundation Research Excellence Awards (FREA) scheme is a means by which the University recognises demonstrated excellence and promise of future success in research, and the leadership potential of individual young researchers in their respective fields. Awards are normally valued between $50,000 and $100,000 and are based on the excellence of the nominee and the merit of the program of research for which the award is sought.
How to apply
- Step 1: Familiarise yourself with the key UQ documentation.
- Step 2: Download and complete the UQ Foundation Research Excellence Nomination Form.
- Step 3: Submit your completed and Nomination Form to the host School/Centre/Institute. Endorsed proposals will then be on-forwarded to the Faculty/Institute with the completed Recommendation Form. Internal deadlines may be set by local units.
Readership and researcher support
Before applying, we recommend you:
- Contact your faculty or institute liaison for advice on peer readership programs.
- Join the UQ R&I Mailer to stay up to date with round developments.
- Access the UQ R&I Grants Library, a helpful resource of past successful proposals.
- Attend UQ R&I information sessions and access PowerPoint presentations from presentations and slides.
- Contact your UQ liaison librarian for advice on bibliometrics, online identifiers and data management planning.
Key documents
- UQFREA 2019 Nomination Form (DOCX, 2.1MB)
- UQFREA 2019 Guidelines (DOCX, 2.2MB)
- UQFREA 2019 Conditions of Award (DOCX, 2.1MB)
- UQFREA 2019 Head of School/Centre Director Recommendation Form (DOCX, 2.1MB)
- UQFREA Final Report Proforma (post-award resource) (DOC, 2.3MB)
- UQFREA Faculty-Institute Ranking Recommendation Spreadsheet (XLSX, 21KB)