ARLIS Intelligence and Security Research Engineer
Job in
College Park, Prince George's County, Maryland, 20741, USA
Listed on 2025-12-27
Listing for:
The Transmitter
Full Time
position Listed on 2025-12-27
Job specializations:
-
IT/Tech
Data Scientist, AI Engineer, Artificial Intelligence, Machine Learning/ ML Engineer -
Research/Development
Data Scientist, Artificial Intelligence
Job Description & How to Apply Below
** Job Description Summary
** Organization's Summary Statement: The Applied Research Laboratory for Intelligence & Security (ARLIS) at the University of Maryland is a University-Affiliated Research Center (UARC) dedicated to advancing research, innovation, and technology transition to improve decision making for U.S. national security. ARLIS combines deep scientific expertise with operational insight to address challenges in intelligence analysis, cybersecurity, artificial intelligence / machine learning, quantum science, and human-machine teaming.
Researchers, scientists, engineers, and analysts at ARLIS collaborate with government agencies, industry partners, and academic institutions to deliver actionable insights and transformative solutions through research and development. Employees at ARLIS work on projects of critical importance, contribute directly to the nation’s security, and are supported by a culture that values integrity, collaboration, and professional growth.
ARLIS research is driven by a cadre of research scientists and engineers, faculty research specialists and project engineers, further supported by senior University of Maryland faculty and a consortium of university partners. Research is typically conducted through teams of e.g. social scientists, computer scientists, psychologists, linguists, cognitive neuroscientists, applied mathematicians, political scientists, policy analysts, and systems engineers.
ARLIS seeks research engineers (in the Assistant, Associate and full ranks) to commit effort on ARLIS projects. Research engineers conduct independent research, combining scientific discovery with excellence in engineering practice, design, and development. The typical research engineer candidate may have fewer peer-reviewed publications due to experience in industry or US Government but has demonstrated experience building systems and delivering solutions to a defined customer.
Research engineers of all ranks are primarily involved in research with a focus on creating new things, and expected mechanisms of disseminating research success may be primarily in forms other than journal papers (e.g., patents, reports, software, etc.). ARLIS Research Engineers focus on realizing things (hardware, software), although they also produce and disseminate knowledge. Activities include designing, building, testing, analysis, project management, and serving as a technical subject matter expert.
Annual publication of scholarly works (journal article, book chapter, conference paper, technical report, standard, etc.) and invention disclosures may be expected, in addition to other means of knowledge dissemination, including software, standards, procedures, technical reports, and publicly available design studies.
Research engineers are expected to bring in sufficient funding to run their R&D programs, which will be consistent with the overall ARLIS mission.
Exceptional candidates in all areas related to the ARLIS’s current research trajectories will be given serious consideration, particularly those with experience in multiple areas. These include:
• Computational social science (including agent-based modeling and simulation, social media analysis, behavioral economics, game theory, predictive modeling)
• Artificial intelligence, including computer vision, natural language processing, human language technologies, multimodal sense-making, and other AI/ML based systems
• Human-machine interface (to include augmented and virtual reality [AR/VR]), human-systems integration, and augmenting human performance
• Computational neuroscience and its links with machine learning and artificial intelligence
• Data science, data creation/curation, data fusion, visualization, analytics, and decision support
• Industrial security, including supply chain illumination and risk assessment
• Software engineering, static/dynamic software analysis, formal methods, applied mathematics, systems verification and validation, metric development, testbed design, and trusted AI.
Must be able to obtain a U.S. security clearance. If selected, you must meet the requirements for access to classified information and…
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