Please see the solicitation below, on behalf of NSF.
Dear Colleagues,
Please feel free to share the email below with your communities.
Regards,
Lina
_______________________________
Lina C. Patino
Program Director
Division of Earth Sciences
National Sciences Foundation
Arlington, VA 22230
Phone: 703-292-5047
Dear Colleagues,
A new solicitation for the National Science Foundation Research Traineeship
Program has been released. This solicitation has a significant level of funding
associated with it, and we encourage the EAR community to consider
carefully this opportunity. The full proposal deadline is June 24th, 2014 with a
recommended letter of intent due on May 20th, 2014.
http://www.nsf.gov/funding/pgm_summ.jsp?pims_id=505015
The NSF Research Traineeship (NRT) program is designed to encourage the
development of bold, new, potentially transformative, and scalable models
for STEM graduate training that ensure that graduate students develop the
skills, knowledge, and competencies needed to pursue a range of STEM
careers. The NRT program initially has one priority research theme - Data-
Enabled Science and Engineering (DESE); in addition, proposals are
encouraged on any other crosscutting, interdisciplinary theme. In either case,
proposals should identify the alignment of project research themes with
national research priorities and the need for innovative approaches to train
graduate students in those areas. NRT projects should develop evidence-
based, sustainable approaches and practices that substantially improve STEM
graduate education for NRT trainees and for STEM graduate students broadly
at an institution. NRT emphasizes the development of competencies for both
research and research-related careers. Strategic collaborations with the
private sector, non-governmental organizations (NGOs), government
agencies, museums, and academic partners that enhance research quality
and impacts and that facilitate development of technical and transferrable
professional skills are encouraged. Creation of sustainable programmatic
capacity at institutions is an expected outcome. Proposals accordingly are
expected to describe how institutions will support the continuation and
institutional-level scaling of effective training elements after award closure.