Some of you may be interested in exploring this opportunity. Please see announcement below.

Thanks to Joe Pancrazio for sending this.

Happy holidays to all!


Dr. Daniel A. Menasce
Senior Associate Dean and Professor of Computer Science
Volgenau School of Engineering, 
Long and Kimmy Nguyen Engineering Building, Room 2510, MS 5C8
George Mason University
4400 University Dr.,
Fairfax, VA 22030, USA

Begin forwarded message:

-----Original Message-----
From: NIBIB Listserv of researchers [mailto:[log in to unmask]] On
Behalf Of NIBIB Info
Sent: Wednesday, December 21, 2011 8:30 AM
To: [log in to unmask]
Subject: DARPA Funding Opportunities

DARPA  -  Funding Opportunity

(Full Proposals Due by 4:00pm ET, January 19, 2012)

The DARPA Young Faculty Award (YFA) program aims to identify and engage
rising stars in junior faculty positions in academia and expose them to
Department of Defense (DoD) needs. In particular, YFA will provide
high-impact funding to the elite junior faculty early in their careers in
order to develop their research ideas in the context of DoD issues. The long
term goal of the program is to develop the next generation of academic
scientists, engineers, biologists and mathematicians in key disciplines of
interest to DARPA who will focus a significant portion of their career on
DoD and National Security issues.

This Research Announcement (RA) solicits single investigator proposals for
research and development in the areas of Physical Sciences, Engineering,
Mathematics, Medicine, Biology, Information and Social Sciences of interest
to DARPA's Defense Sciences Office (DSO), Microsystems Technology Office
(MTO), and Information Innovation Office (I2O).

Specific topic areas below are described in further detail in the attached

1. Quantum Science and Technology

2. New Physical Methods for Applied Biology

a. Modulation and measurement of biological networks and signaling pathways

b. Hybrid biotic-abiotic interfaces

c. Minimally invasive recording and modulation

3. Mathematics

4. Strongly Correlated Materials

5. Predictive Materials Science:

6. New Engineered Materials

7. Advanced Electronics


9. Photonics and Lasers

10. Digital Direct Manufacturing

11. Neuroscience

a. Operational Neuroscience:

b. Brain-Machine Interfaces (BMI):

12. Computational and Quantitative Social, Decision, and Behavioral

13. Robotics

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