Deadline March 12 for Intelligence Community Postdoctoral Research Program

The Intelligence Community (IC) Postdoctoral Research Program is accepting applications through March 12, 2018.

The program supports postdocs to conduct research at universities, colleges, and government-run laboratories throughout the United States. In collaboration with research advisors at their institution, postdocs develop and submit technical research proposals that align with research opportunities proposed by the IC community. The research is conducted by the postdocs while working in partnership with the research advisor, and collaborating with an advisor from the intelligence community.

Recent Ph.D. graduates or doctoral students who will soon complete their degrees are encouraged to apply. The fellowships offer a competitive annual stipend and an annual travel allowance for the postdoc, as well as a stipend and travel allowance to the host institution.

Award Details: 

  • Annual stipends range from $75,000 to $79,000, depending on research location
  • Annual travel budget of up to $6,000
  • Appointments for two years, and option to extend for a third year
  • Host institutions receive an annual laboratory budget of up to $5,000
  • Research advisors receive a $10,000 stipend and an annual travel budget of up to $2,000


More information about the program:

Virginia Tech postdocs interested in “Improved understanding of composite material properties, with the aim of increased blast resistance” (details at are asked to contact CEE professor Eric Jacques.

Current research opportunities available in the program:

  • 2D materials for ultra-low-power data egress at 4K
  • Advanced battery development
  • Advanced research into archive, analysis and retrieval of video based data
  • Advancing direct-write printing methods for the fabrication of electronics on complex surfaces
  • Adversarial biological learning
  • Agent based dynamic network optimization and control
  • All-optical sampling for THz bandwidth signals
  • Autonomy prospects for commercial unmanned aerial systems
  • Background reduction in high-efficiency measurement of beta-emitting fission products
  • Biological and spectral responses of plants to stressors
  • Cognitive science and structured analysisIC-18-13
  • Context Search of Text
  • Controllable and quantifiable methods for real-time explosive vapor generation
  • Cross-linguistic approaches for representing place and movement
  • Crowd modeling in post-event emergency situations
  • Data Fusion and Deep Learning to Detect, Track, and Identify Global Maritime Traffic
  • Detecting malicious activity on distributed IoT sensor/actuator networks
  • Deterrence that disintegrates in daylight: military deterrence based on hidden capabilities
  • Enriching point-of-interest (POI) and land use classifications with sound representations
  • Full homomorphic encryption of data for low bandwidth channels
  • Impact of Twisted, Bent Fiber on Orbital Angular Momentum Light Wave Propagation
  • Improved understanding of composite material properties, with the aim of increased blast resistance (see above)
  • Increasing the security of wireless communications at the physical layer
  • Magnetic skyrmions for non-volatile memory and computing
  • Magnon algorithmics
  • Measuring and attributing variation within major crop types over large regions
  • Methods to detect manipulated facial images in identity documents or on-line applications
  • Micro-robotics
  • Modeling insider threat with neural networks
  • Multi-modal Speech Processing
  • New algorithms for fast cone-beam computed tomography (CBCT) reconstruction
  • New and emerging qubit science and technology
  • Nexus of machine learning, design optimization, advanced manufacturing, and smart materials
  • Noise in Superconducting Qubits
  • Non-conventional energy harvesters/power sources to provide power in remote locations for 10+ years
  • Novel approaches to compact energy storage and lighter/more efficient autonomous systems
  • Opportunities and risks in the application of deep learning to security screening applications
  • Predicting behavioral influences on epidemic dynamics
  • Quantum secure communication
  • Quantum sensing and readout with cavity quantum phonodynamics
  • Real-time object detection, tracking, and classification plus associated analytic methods
  • Space object hypervelocity impact electromagnetic pulse radio frequency detection and measurement
  • Strengths and weaknesses of social network analysis
  • Three dimensional (3D) rendering of multiple two dimensional (2D) images for component recognition
  • Unconventional distributed sensor optimization and integration for robust agile flight control
  • Understanding and mitigating side-channels in commodity hardware
  • Use of LIDAR for maintaining Speech Intelligibility with ASR

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