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:
Intelligence, surveillance, and reconnaissance (ISR) assets used to collect, process, and transmit full motion video (FMV)—and often subject to size-weight-power-and-cost (SWaP-C) constraints—are also limited by natural light conditions and often have less than optimal image quality/resolution for their assigned task. Additionally, real-time imaging frame rates and signals-to-noise ratios (SNRs) in nonpanchromatic imaging systems, such as Light, Detection, and Ranging (LIDAR) and Synthetic Aperture Radar (SAR) systems, are limited by the system’s link budget, transmitter power and bandwidth, and processing chain execution time. This topic seeks to identify and formulate signal processing techniques that utilize prior information from sensor data and images to augment, expedite, and enhance real-time data collection, exploitation, and image post-processing. Prior information should be drawn from different sensing/imaging modalities than that of the system whose capabilities are being augmented (cross-sensor data), i.e. if attempting to enhance the capabilities of a LIDAR system, one could use SAR data, panchromatic data, or multispectral data, but should not use LIDAR data from a similar system. Techniques should either show potential for use in real-time imaging systems or should be tested as such. This means computational complexity should be minimized wherever possible. Therefore, techniques showing conceptual simplicity are preferable to those requiring brute force processing. Rigorous contextualization in terms of fundamental physical, statistical, and information theory principles is preferred. However, Artificial Intelligence/Machine Learning (AI/ML) based proposals will also be considered. End products should aspire to fuse data at the signal level and significantly improve (2x-10x improvement) on existing registration-overlay hybrid imaging techniques. Is it possible to render useful images from extremely sparse or low SNR data sets by leveraging this cross-sensor data, which otherwise would be unable to form a useful image? How much can the burden of SNR requirements be relaxed by using cross-sensor priors? What degree of resolution enhancement can be achieved? Can prior cross-sensor data help to enhance partially obscured/shadowed image areas?
Example Approaches:
Potential approaches/problems:
Relevance to the Intelligence Community:
The ability to record, quickly process, and transmit real-time full motion video (FMV) is essential for the success of many intelligence missions. Leveraging prior information for the enhancement of real-time imaging data streams would add increased flexibility to the trade space of existing FMV systems, lowering power usage aboard platforms. Advances of this nature would also serve to enhance the situational awareness of mission commanders and decisionmakers by offering more information than on-station assets can provide organically, enabling better informed and more responsive mission execution. Finally, agencies could also choose to field lower-cost, smaller size ISR assets with cheaper, mass-produced components which, when augmented with real-time prior information signal processing algorithms, offer equivalent capability to systems that are currently fielded.
Key Words: Incoherent Imaging, Coherent Imaging, Data Fusion, Digital Holography, 3D Imaging, LIDAR, SAR, Bayesian, Direct Detection, Estimation, Detection, Real-Time Imaging, Full Motion Video, Inferential Data Exploitation, Cramer-Rao Analysis, Wave Optics, Graph Theory, Network Theory, Image Segmentation, AI/Ml, Machine Vision, Kalman Filter, High-Speed Photodetectors, Geiger-Mode Detection
You gave a rating of 0 star(s)
SECURITY/PRIVACY NOTICE
By continuing to use this system you indicate your awareness of and consent to the following terms and conditions of use. LOGOUT IMMEDIATELY if you do not agree to the conditions stated in this warning.
SECURITY NOTICE
This system is part of a Federal information system. This system is monitored for security purposes to ensure it remains available to all users and to protect information in the system. The system employs software programs to monitor network traffic to identify unauthorized activities. By accessing this system, you are expressly consenting to these monitoring activities. Unauthorized attempts to defeat or circumvent security features; to use the system for other than intended purposes; to deny service to authorized users; to access, obtain, alter, damage, or destroy information; to upload or change information; to otherwise cause system or information damage; or otherwise to interfere with the system or its operation, is prohibited. Evidence of such acts may be dis-closed to law enforcement authorities and result in prosecution under the Computer Fraud and Abuse Act of 1986 and the National Information Infrastructure Protection Act of 1996, or other applicable laws.
PRIVACY NOTICE
This system is for authorized use only. Use of this system constitutes consent to security monitoring and testing. All activity is logged with your host name and IP address. Users (authorized or unauthorized) have no explicit or implicit expectation of privacy. Any or all uses of this system and all files on this system may be intercepted, monitored, recorded, copied, audited, inspected, and dis-closed to authorized site and law enforcement personnel, as well as authorized officials of other agencies, both domestic and foreign. By using this system, the user consents to such interception, monitoring, recording, copying, auditing, inspection, and disclosure at the discretion of authorized site or law enforcement personnel. Unauthorized or improper use of this system may result in administrative disciplinary action and civil and criminal penalties.
You have been inactive on this page for . You will be logged out after 03:00:00.
Select an icon below to visit the website and download an appropriate browser.
For help, please email Zintellect@orau.org.
Question: What is the deadline for submitting an application?
Answer: Not all opportunities have application deadlines. Some opportunities remain open until they are filled. If an opportunity has an application deadline, then it will be listed in the opportunity details or in the opportunity catalog.
Question: How do I reset my password?
Answer: If you have forgotten your password or wish to reset your password, use the "Forgot password or username?" tab on the login to reset it.
Question: I forgot my username. How do I retrieve it?
Answer: Use the "Forgot password or username?" tab on the login. You will receive an email containing your username.
Question: What do I need to submit an application?
Answer: Typically, applicants are required to submit a resume or CV, an official copy of their transcripts or academic record, and a minimum of two references at the time they apply. Additional requirements such as a writing sample, thesis or dissertation, etc. may be required. Review the opportunity details for additional information about the requirements for applying for an opportunity.
Question: Where do I upload my transcripts?
Answer: If required, you will be asked to upload your transcript as a part of the application process.
Question: Where do I submit a writing sample?
Answer: If required, you will be asked to upload a writing sample as part of the application process.
Question: Can a family member serve as a reference?
Answer: No; family members may not serve as references. References must be able to speak to your educational and/or professional experience. At least one academic reference is preferred.
Our Zintellect A.I. is constantly learning how to Match you to our opportunities! So, we want to know when we get it right or when we get it wrong. This will help us make our better! Plus, as a potential applicant to one of our many opportunities across the country, we value you and want to help you on your career path!