Research Associates Center National Security Initiatives

Research Associates for Center for National Security Initiatives

Apply for the Research Associates positions at University of Colorado Boulder.

The Center for National Security Initiatives at CU Boulder is encouraging applications for Postdoctoral Associates, Research Associates, and Senior Research Associates in multiple domains, who will support the growth of the campus's National Security research enterprise. These positions will report to leadership within the Center for National Security Initiatives (NSI), within the Research & Innovation Office (RIO). You will be responsible for developing groundbreaking research associated with the National Security enterprise, identifying new sponsored research opportunities with Department of Defense (DoD) and Intelligence Community (IC) partners, and preparing and executing strategic proposals in collaboration with other CU Boulder faculty and NSI researchers.

Candidates will be focused on strategic development of a nationally recognized research program, with an emphasis on applied research in the National Security space. New positions are available in the following focus areas:

• Autonomous Systems
  :
  Requires expertise in assured algorithms, control theory, computer vision, artificial intelligence (AI), and machine learning (ML). The candidate will address challenges including swarming, networked autonomy, human-machine teaming, and perception and localization.
• Cybersecurity
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  Requires applied research expertise in the design, attack, and defense of cyber systems, such as networks, information systems, AI/ML and information/data analytics, computer architecture, human-machine teaming and automation, applied cryptology, computer aided design (CAD) of digital and analog devices/circuits, and semiconductor materials, fabrication, and devices. The candidate will develop solutions focused on ensuring the confidentiality, integrity, and availability of information stored on and transmitted across U.S. space assets, critical infrastructure, and global communications systems.
• Geospatial Data Analytics
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  Requires expertise in applying analytics to terrestrial and space data sets, including fusing disparate and large data sets to produce actionable information. The candidate will develop algorithms and applications by applying AI/ML, computer vision and state-of-the-art techniques to create models that support decision making tools in the national security arena.
• Human-Computer Interaction / Human Factors
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  Requires experience in areas including human-machine teaming, human-machine interfaces, virtual augmentation of human performance, human performance, training, and/or education. Familiarity with AI-enabled systems, particularly in support of enhanced decision‑making, is highly desirable.
• Hypersonic Systems
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  Requires expertise in the development and application of computational tools for analysis of various aspects of hypersonic vehicle performance and phenomena including aerothermodynamics, material, structures, propulsion, observables, and mission design.
• Intelligence, Surveillance, and Reconnaissance (ISR):
  Requires understanding of the application of space-based ISR to find, fix, and track both friendly and hostile forces, as well as to complete battle damage assessment (BDA). The candidate will address key challenges in automation, sensor fusion, latency, and data analytics.
• Positioning, Navigation, and Timing (PNT):
  Requires expertise in the science and instrumentation of global navigation satellite systems (GNSS), algorithms for assured PNT, and the development of technologies for GPS limited/denied environments. The candidate will develop high precision, low SWaP‑C solutions for resilient operations in relevant DoD environments.
• Quantum Technologies
  :
  Requires expertise in the development of quantum-based capabilities for sensing, computing, and/or communications, for national security applications in all domains (land, sea, air, space, cyber). The candidate will build effective collaborations with established quantum scientists and engineers at CU Boulder to accelerate the transition of quantum products.
• Radio frequency (RF) Engineering
  :
  Requires expertise in…