Research Training Groups in the Mathematical Sciences  (RTG)

Deadline: June 6, 2017

The RTG program supports efforts to improve research training by involving undergraduate students, graduate students, postdoctoral associates, and faculty members in structured research groups centered on a common research theme.  Research groups supported by RTG must include vertically-integrated activities that span the entire spectrum of educational levels from undergraduates through postdoctoral associates.

Geophysics  (PH)

Deadline: June 9, 2017

The Geophysics Program supports basic research in the physics of the solid earth to explore its composition, structure, and processes from the Earth’s surface to its’ deepest interior. Laboratory, field, theoretical, and computational studies are supported.

Perception, Action & Cognition  (PAC)

Deadline: June 15 for workshop proposals; August 1 for research proposals

The PAC program funds theoretically motivated research on a wide-range of topic areas focused on typical human behavior. The aim is to enhance the fundamental understanding of perceptual, motor, and cognitive processes and their interactions. Central research topics for consideration by the program include (but are not limited to) vision, audition, haptics, attention, memory, reasoning, written and spoken language, motor control, categorization, and spatial cognition.

Political Science Doctoral Dissertation Research Improvement Grants  (PS DDRIG)

Deadline: June 15, 2017

The Political Science Program supports scientific research that advances knowledge and understanding of citizenship, government, and politics. Research proposals are expected to be theoretically motivated, conceptually precise, methodologically rigorous, and empirically oriented.

Ideas Lab: Practical Fully-Connected Quantum Computer Challenge (PFCQC)

Deadline: Preliminary proposal due June 19, 2017; Full proposal due November 30, 2017

Quantum computing is a revolutionary approach to information processing based on the quantum physics of coherent superposition and entanglement.  Advantages of quantum computing include efficient algorithms for computationally difficult tasks, efficient use of resources such as memory and energy needed for computations, and new platforms for the simulation of quantum mechanical systems that are currently intractable using conventional computers.

For more grants check out NSF’s Website!