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.

Application deadline is February 28, 2020.

Opportunity Number Opportunity Title Program Academic Levels

Interested in what kind of opportunities are available through IC Postdoc?

Please feel free to review the research opportunities listed below:

Quantum and Optical Sensors
Determination of GMO and non-GMO Crops Multi-Spectral Changes Post-Chemical Uptake
Predictive modeling of livestock diseases with significant economic, social, or security impacts
Adversarial Biological Learning
Characterization of Physics and Approximations in Urban Weather and Atmospheric Dispersion Models
Deterrence that Disintegrates in Daylight: Military Deterrence based on Hidden Capabilities
Control of magnetic ordering for ultra-low power memory and logic
Novel Technologies for Power and Thermal Management of Millimeter Wave ESAs
Space Additive Manufacturing & Robotic Assembly
Use of Microwave Photonics for Lowering SWaP and Thermal Dissipation in Receivers and ESAs
Population mobility and pathogen transmission: validation of non-traditional approaches
Environmental Triggers for Disease Outbreaks
Machine Learning for Identifying/Locating Natural Targets Using Multi-temporal Dual-Pol SAR Data
Nuclear Forensics Challenges: High-Efficiency Measurement of Beta-Emitting Fission Products
Integration of sensor performance metadata into automated image analysis algorithms
Construction/Evaluation of a compressive imaging system from an Indium Gallium Arsenide photo sensor
Quantum state transduction
Mathematical Intuition in Neural Discovery and Understanding (MINDU)
Optimisation of the scalable partitioning of complex network graphs for processing
Effective markers for the detection of synthesised hazardous materials in waste products
Use of artificial intelligence to validate data and to automate correction of poor-quality data
Application of sensing networks for situational awareness and early detection of threats
Research into improved methods for trapped-ion magnetometer sensors, detection and reporting
Opportunities and risks in the application of machine and deep learning to security screening
Controllable and quantifiable methods for real-time explosive vapor generation
Modeling the effects of mechanical stress for batteries in wearable applications
Pathogen roles in complex diseases and unattributable infections, diagnosis and mitigation
Ultra-Narrowband Transceiver Design for Long Range Low Power and Low Profile Communications
Detecting needles in haystacks - how can quantum sensors help improve security screening?
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
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