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://orau.org/icpostdoc/.
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:
Research could examine one or more of the following questions:
How to determine when new commercial advances in swarm intelligence, inter-UAS communications, and human-to-system interaction will culminate in mature autonomy algorithms?
How to determine which new deep learning techniques using neural networks might push flight control algorithms beyond a narrow AI approach to multitask learning, transfer learning, or even a more generalized AI flight control algorithm?
How to determine if machine learning techniques, using only a small amount of training data or no data, can achieve high levels of algorithm performance for UAS applications? For example, in October 2017 Goggle's DeepMind shop announced a new AI program, Alpha Go Zero, that used self-learning without human interaction and no data to simply apply the rules of GO and play itself millions of times to defeat AlphaGo which recently defeated the best human player.
Forecast likely future outcomes using a structured analytical technique like Alternative Futures Analysis.Identify the main technological drivers to track over time, combine them to create relevant and likely future scenarios, and identify the indicators or metrics associated with those drivers. What are the implications for each future scenario? Is it possible to assess or forecast a rough timeline for significant milestones towards mature autonomy algorithms that have military application? Will autonomy advances for commercial world applications (e.g., oil pipeline inspection, humanitarian disaster relief, wildfire detection, etc) only have limited benefit for military applications?