Current Research Opportunities
The Intelligence Community (IC) Postdoctoral Research Fellowship Program offers scientists and engineers from a wide variety of disciplines unique opportunities to conduct research in a wide range of topics relevant to the Intelligence Community. The research is conducted by the Postdocs, while working in partnership with a Research Advisor and collaborating with an advisor from the Intelligence Community.
In partnership with the Research Advisor, the Postdoc composes and submits a technical proposal that responds to a current research opportunity.
U.S. citizens and recent Ph.D. graduates or doctoral students who will soon complete their degrees are invited to apply.
Applications open January 2020.
Interested in what kind of opportunities are available through IC Postdoc?
Please feel free to review past research opportunities listed below:
| Three dimensional (3D) rendering of multiple two dimensional (2D) images for component recognition. |
| New algorithms for fast cone-beam computed tomography (CBCT) reconstruction |
| Agent based dynamic network optimization and control |
| Novel approaches to compact energy storage and lighter/more efficient autonomous systems |
| Predicting behavioral influences on epidemic dynamics |
| Nexus of machine learning, design optimization, advanced manufacturing, and smart materials |
| Magnetic skyrmions for non-volatile memory and computing |
| Unconventional distributed sensor optimization and integration for robust agile flight control |
| Adversarial biological learning |
| Deterrence that disintegrates in daylight: military deterrence based on hidden capabilities |
| Modeling insider threat with neural networks |
| Background reduction in high-efficiency measurement of beta-emitting fission products |
| Cognitive science and structured analysis |
| Strengths and weaknesses of social network analysis |
| Biological and spectral responses of plants to stressors |
| Enriching point-of-interest (POI) and land use classifications with sound representations |
| Measuring and attributing variation within major crop types over large regions |
| Cross-linguistic approaches for representing place and movement |
| Space object hypervelocity impact electromagnetic pulse radio frequency detection and measurement |
| Advanced battery development |
| Full homomorphic encryption of data for low bandwidth channels |
| Real-time object detection, tracking, and classification plus associated analytic methods |
| 2D materials for ultra-low-power data egress at 4K |
| Advancing direct-write printing methods for the fabrication of electronics on complex surfaces |
| All-optical sampling for THz bandwidth signals |
| Impact of Twisted, Bent Fiber on Orbital Angular Momentum Light Wave Propagation |
| New and emerging qubit science and technology |
| Noise in Superconducting Qubits |
| Quantum sensing and readout with cavity quantum phonodynamics |
| Data Fusion and Deep Learning to Detect, Track, and Identify Global Maritime Traffic |
| Autonomy prospects for commercial unmanned aerial systems |
| Methods to detect manipulated facial images in identity documents or on-line applications |
| Advanced research into archive, analysis and retrieval of video based data |
| Increasing the security of wireless communications at the physical layer |
| Understanding and mitigating side-channels in commodity hardware |
| Detecting malicious activity on distributed IoT sensor/actuator networks |
| Quantum secure communication |
| Magnon algorithmics |
| Non-conventional energy harvesters/power sources to provide power in remote locations for 10+ years |
| Use of LIDAR for maintaining Speech Intelligibility with ASR |
| Context Search of Text |
| Security of Automatic Speaker Verification Systems to Synthesis Spoofing Attacks |
| Multi-modal Speech Processing |
| Micro-robotics |
| Improved understanding of composite material properties, with the aim of increased blast resistance |
| Crowd modelling in post-event emergency situations |
| Controllable and quantifiable methods for real-time explosive vapor generation |
| Opportunities and risks in the application of deep learning to security screening applications |
