Special NSF Seminar: Funding Opportunities in Dynamics and Control
Monday, December 4, 2023
An Overview of National Science Foundation Funding Opportunities in Dynamics and Control
Dr. Jordan Berg
Civil, Mechanical and Manufacturing Innovation Division
National Science Foundation
The National Science Foundation (NSF) offers multiple funding opportunities for investigators working in the field of dynamics and control, both within disciplinary programs in Engineering and other directorates, and through foundation-wide cross-cutting initiatives. This presentation will describe opportunities that are relevant to the robotics, dynamics and controls communities. The presentation will also describe programs targeted toward junior investigators, as well as guidelines for proposal preparation and NSF’s Intellectual Merit and Broader Impacts criteria. A question-and-answer session will follow the presentation.
Dr. Berg serves as a Program Officer in the NSF's Engineering Directorate. His research interests include nonlinear and geometric control, soft robotics, human-machine systems, and the modeling, simulation, design, and control of nano- and micro-systems. He received the BSE and MSE in Mechanical and Aerospace Engineering from Princeton University in 1981 and 1984, and the PhD in Mechanical Engineering and Mechanics and the MS in Mathematics and Computer Science from Drexel University in 1992. In 1996 he joined the faculty of the Mechanical Engineering Department of Texas Tech University, where he remained until 2018. He began at NSF as a rotator in 2014, and returned as a permanent employee in 2018. At NSF he co-directs the Dynamics, Control, and Systems Diagnostics program in the Division of Civil, Mechanical, and Manufacturing Innovation, and has served on several cross-cutting programs, including the Future of Work at the Human-Technology Frontier: Core Research, Foundational Research in Robotics, EFRI Continuum, Compliant, and Configurable Soft Robotics Engineering, National Robotics Initiative 2.0, Cyber Physical Systems, and the National Artificial Intelligence Research Institutes. He is a Fellow of ASME.
For more information, contact Umberto Saetti.