Create and release your Profile on Zintellect – Postdoctoral applicants must create an account and complete a profile in the on-line application system. Please note: your resume/CV may not exceed 2 pages.
Complete your application – Enter the rest of the information required for the IC Postdoc Program Research Opportunity. The application itself contains detailed instructions for each one of these components: availability, citizenship, transcripts, dissertation abstract, publication and presentation plan, and information about your Research Advisor co-applicant.
Additional information about the IC Postdoctoral Research Fellowship Program is available on the program website located at: https://orise.orau.gov/icpostdoc/index.html.
If you have questions, send an email to ICPostdoc@orau.org. Please include the reference code for this opportunity in your email.
Research Topic Description, including Problem Statement:
Existing modeling and simulation methods against a contested electromagnetic spectrum are incapable of satisfying current and future requirements. High-end weapons rely on sophisticated electromagnetic capabilities for attack/counterattack, defense/counterdefense that create an enormously cluttered and complex electromagnetic environment. Under these conditions, performance reliability, vulnerabilities, and capability characteristics loom as significant unknowns. Reasonably reliable, accurate, timely, and variable modeling and simulation capabilities are necessary to provide better insights and understanding of this environment.
Current computational modeling and simulation efforts against a complex environment must reach a reasonable accommodation with the environment’s nonlinearity, scale, and complexity. In addition, these efforts must be timely and their results must be cognitively informative to allow decision-making trade-offs in terms of resource variability and mission risk.
Traditional modeling and simulation methods have relied on mathematical formulations to define and establish functional relationships between input values and outcomes. However, non-linearity, scale, and complexity usually obviate modeling and simulation as a discrete research approach. In its place, computational optimization has inspired nature-based metaheuristic approaches (e.g., simulated annealing and cuckoo search) and, more recently, swarm intelligence approaches (e.g., ant colony and particle swarm optimization), which have shown promise against highly nonlinear problems. Despite the promise of these surrogate approaches in addressing nonlinearity, challenges remain with respect to scale, timeliness, and understanding. The challenges in addressing complex electromagnetic environments call for a physics-based surrogate that solves scale, variability, and timeliness issues and provides for practical understanding.
Worthwhile research goals include:
Relevance to the Intelligence Community:
Modeling and simulation can provide system characteristic and performance data and enhance understanding of a weapon system’s operational employment. Developing the ability to model and simulate blue-red interaction and engagement would provide significant insights that would benefit a broad spectrum of decision-making: from force size, shaping, and acquisition to operational planning and engagement. Enhanced modeling and simulation in this spectrum would give the Intelligence Community the means to provide answers to unknowns, clarify a complex environment, and add value to decision-making processes.
Key Words: Modeling; Simulation; Computational Optimization; Surrogate-based Optimization; Algorithm; Optimization Algorithm; Nonlinear Optimization; Stochastic Optimization; EMS M&S