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:
There are several important issues that can be considered in the research and approached collaboratively. Research efforts could include:
Relevance to the Intelligence Community:
Key technologies such as mobile and Internet of Things (IoT) technologies are expected to continue to evolve and provide significant contributions to the massive data explosion and complex problems that have to be addressed in the very near future. Evolving requirements will demand more comprehensive and flexible strategies given how quickly situations change on the world stage. As a result, the need for quick and “trusted” intelligence is escalating to better position us for opportunities, as well as, challenges. Establishing better interplay between standard and quantum computing resources and the algorithms that depend on them will be essential to effective management of the intelligence cycle, data collection, data processing, all source analysis and production, and dissemination—each representing an essential component within the intelligence cycle.
Key Words: Algorithms, Computational, Complexity, Standard, Quantum, Machine Learning, QML, ML, Computing, Intelligence, Cycle, Transitioning, Translator, Internet of Things