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.

Please feel free to review the research opportunities listed below:

Protocol-agnostic Device Identification and Authentication in Smart Cities

Quantum Engineering for Quantum Sensors

Mechanisms to Improve the Sensitivity of Metagenomic Analysis

Enhanced Raman Microscopy Identification of Biological and Chemical Materials on Solid Samples

Development and Evaluation of Statistical Models to Support the Genotyping of any Organism to Forensic Standards

Ocean Tides and Ocean Tide Loading Parameters

Optical Clock Integration

Climate Change Impact on Commercial Electro-Optical Constellation Collection

Solid-State Quantum Magnetometer Integration

Task Allocation and Planning in Multi-Robotic Systems: Balancing Task Completion Time and Geospatial Information Gain

Computational Model of the V1 Human Visual System

Evaluating Computer Architectures and the Impact on Next Generation Computing: New Approach to Solving Computationally Difficult, Data-Intensive Problems

Quantum Advantage and Computational Tractability

Understanding the Interaction of Multiple Optimizers in Artificial Intelligence Models

Novel Mathematical Approaches to Understanding Complex Systems

Material Characterization Techniques for Quantum Computing

Modular Quantum Computing

Novel Control and Readout Schemes for Gate-Based Quantum Computing

Robust Multilingual End-to-End Speech Recognition

Emerging Application for Superconducting Electronics

Robust and Resilient Artificial Intelligence Systems

Deleterious Effects on Atoms Due to Nearby Surfaces

Enhancing thermal management in space environments

Non-canonical Protein Translation and Expression Processes, Synthetic Biology, and Biosecurity

Biotechnologically Useful Determinants of Extremophiles

Associations of Micro and Nanoplastics in Environment and its Human Health Implications

Tools and Techniques for Quantum Biology

Modeling of Chemical Plumes in Urban Environments

Effect of Aerosol Particle Morphology on Reaction Dynamics

Novel Techniques for Remote Sensing of Chemicals

Developing Techniques to Enable Analytic Teams to Make Accurate Judgments

Enhanced Characterization of Solar Storm Events

Enabling Components of Human Augmentation

The Psychology of Intuition the Implications of Creativity and Cognitive Bias for the Security Community

Detecting Anomalous Small-scale Seismic Events

Protect Individuals and Our Workspaces from Acoustic Compromise, Through the Identification of Threats and Countermeasures

Secure Hardware Assurance Through Modelling and Machine Learning

Flapping Wing Micro Aerial Vehicles (MAVs) for Remote Sensing

Methods for High-throughput Energetic Characterization

Towards Antifragility

Finding Agency in Sensory Data

Innovative Antennas for Space Platforms


Quantum Engineering for Quantum Sensors

Conceptualization of Swarm or Team Robots for Autonomous Tunneling

Cognitive Electronic Warfare

Electro-Magnetic Spectrum Modelling and Simulation (EMS M&S)

Discriminating Polymers Used in Additive Manufacturing Systems with Handheld devices

Associating Fabricated Parts and 3-Dimensional Printing Machines from Toolmarks

Artificial Intelligence Explainability

Probabilistic Visualization of Complex Arguments to Resolve Analytic Disagreements

Characterization And Source Mapping of 3D Printed Materials Through Materials Analysis

Early Warning Threat Identification via Phenotypic Expression

Design And Modeling of Self-Assembled Biological Structures

Advancing Isotopic Analysis of Metabolites for Geo-Spatial Attribution

Specific and Precise Individual-Scale Contact Tracing of Infectious Diseases

Exposome Characterization to Enhance Threat Assessments

Advances in Whole-System, Untargeted, Multi-Omics Analytical Approaches – Software and Hardware

High Volume Biomanufacturing of Three-Dimensional Structures from Self-Assembled Biological Polymers

Optical Metrology For Nanofabrication

Biotemplated Nanofabrication

Disagreements Accurate Answers to Challenging Factual Questions

Weak Supervision in Machine Learning

Uncovering Insights into Locations Using Geosocial Data

Multi-site Pattern-of-Life Irregular Time-Series Modeling

Solid-State Quantum Magnetometer Readout and Subsystem Enhancements

Environmental Security Risk Forecasting

Developing Advanced Metrics for Hypernetwork Analysis

Computational Complexity in Standard Machine Learning and Quantum Machine Learning Algorithms

Investigation of Strategic and Critical Materials in the Space Infrastructure Supply Chain

A New Description of Ionospheric Variability Driven by Dynamics from the Lower Atmosphere

Entangled Two-Photon Absorption Filters for Communications

Bandit Models for Optimizing Collection

Materials Science for Quantum Information Science

Novel Control and Readout Schemes for Gate-Based Quantum Computing

Solid-State Qubits in Extreme Environments

Malign Foreign Influence: Identifying it and Assessing State Resilience to it

Prospects for Machine Learning to Ascribe Motivation

Find Needle in Haystack, Build Needle-Stack: Novel Technique to Tackle Large-Scale Class-Imbalance

Threat Model Considerations in Systems that use neural networks at the edge

Machine learning and modelling of complex circuits to provide secure hardware assurance

Machine led discovery of electrically functional materials for additive manufacturing

Characterizing the Impact and Detection of Microbiome/Microbiota Modifications

Characterizing the Impact and Detection of Synthetic Monomers

Low Shot Training and Testing of Machine Learning Algorithms for Detection of Items of Concern

The Cybersecurity of Complex Adaptive Systems

The Internet of Space Things Using Commercial Grade Radios

Nanotechnology Implications for Chemical and Biological Warfare Safeguards

Holistic Human Identity Mapping

Nontraditional Distributed Aperture Coherent Imaging/Sensing

Real-Time Image Enhancement With Cross-Sensor Prior Information

Computational Fluid Dynamics of Fast Moving Objects

Cislunar Position Navigation and Timing

Solid-State Quantum Magnetometer Readout and Subsystem Enhancements

Neural Pathways and Neuroplasticity in Geospatial Expertise Acquisition

Tailoring Quantum Error Correcting Codes to Error Models

Assessing Collective Intelligence

Novel Techniques for Plume Model Mapping

Autonomous Control for Small Uninhabited Air Vehicles Enabling Monitoring of Infrastructure

Individual-Scale Contact Tracing of Infectious Diseases Through Next-Generation Sequencing

Synthesis of Sequence-Controlled, Multiblock Copolymers for Information Storage Applications

Deep Learning and Inference Using Models with Low Precision Synapses and Binary Unit Activations

Solid State Nanopore Polymer Sequencing for Information Storage Applications

Multifunctional 2D Materials for Photonics and Optoelectronics Applications

Nonlinear and Time Varying Antenna-like Structures

Examination of Additive Manufacturing and 3D Printing of Firearms and Tools

Debugging for Quantum Computers

Superconducting Implementations of Signals Processing Techniques

Advances in Whole-System, Untargeted, Multi-Omics Analytical Approaches—Software and Hardware

Rapid Improvement of Judgmental Calibration

Formal Verification of Machine Learning Models

Developing Pattern-of-Life Analysis & Predicting Future Locations Using Open-Source Locational Data

Using Machine Learning to Model Crustal Magnetic Field

Understanding Change: Approaches to International Conflict Prevention

Quantum Engineering for Quantum Sensors

Terahertz Radio Frequency (THz RF) Transmission for Wideband Atmospheric Communications

Optimal and Autonomous Control of Satellite Formations

Multi-Agent Control Hierarchy for Distributed Space Systems

Evaluating the Impact of Technology on the Global Financial System

Evaluation of Commercially Available Flight Simulator Software

Fractile Phased Array Antennas

Improving Recorded Audio Intelligibility for Varying Environments

Noise Characterization of Superconducting Qubit Systems

Event-based Imagers (EBI) vs. Traditional Frame-based Imagers for Broad-area Anomaly Detection

Artificial Intelligence Explainability

Synthesis of Flexible Electrochromic Polymer

Energy Boost Approaches

Cognitive Electronic Warfare

Development of Methods to Identify, Detect, and Describe Synthetically Derived Biological Systems

Wireless Mesh Communication Networks

Developing and Expanding Machine-Readable Knowledge Models for Object Based Production

Electromagnetic Spectrum Modeling and Simulation

Chemical Analysis of Polymers Used in Additive Manufacturing

Information Security Classification for Disparate Data in the age of Machine Learning

Cyber Influence on Behavior Change: Prevalence, Predictors, Progress, and Prevention

Object and Activity Detection with Weak Labels

Investigate the Sensitivity of Photonic Technologies to Radiation Effects Using Lasers

Explainable and Trustworthy Artificial Intelligence

Determining Attribution—A Chemometric Study of Energetic Materials

Radio Frequency (RF) Spectrum Sensor Network for Detection & Identification of Devices

Low-Shot Training and Testing of Machine Learning Algorithms for Detection of Items of Concern

Predicting the Unpredictable: Can you Predict Drone Intent?

Machine-led Discovery of Novel Materials for Automated Chemical Synthesis

Satellite Internet of Things Communications

Scalable Pattern Discovery Within Graph-Structured Data

Global Navigation Satellite System (GNSS) Anomaly Detection Using Consumer Grade Hardware

Automated Intelligibility Tests Through the Use of AI or Novel Algorithms