ARLIS Intelligence and Security Research Scientist

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** Job Description Summary
** Organization 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.
Our Research Scientists are primarily involved in research with a focus on creating knowledge and carry the title of Assistant, Associate, or Full Research Scientist. The research part of promotion package resembles that of tenure-track faculty in publications, securing funding, etc., albeit at a somewhat reduced scale. Career experience in industry and/or government/military may be an important component in the appointment package.
ARLIS seeks research scientists (in the Assistant, Associate, and full ranks) to commit effort on its projects. 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 the following:  Psychological and brain sciences, including neuroscience, human cognition, individual differences, and social psychology Social influence and disinformation, detection and mitigation of insider threat, industrial/organizational psychology, and teamwork and group dynamics  Computational social science (including agent-based modeling and simulation, social media analysis, behavioral economics, game theory, predictive modeling)  Human-machine interface (to include augmented and virtual reality (AR/VR), human-systems integration, and augmenting human performance Artificial intelligence, including computer vision, natural language processing, human language technologies, multimodal sense-making, and other AI/ML based systems 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, trusted AI, metric development, testbed design, and systems verification and validation    This position represents a pipeline to support emerging and future work lications will be reviewed on a rolling basis.

If you are looking for more immediate employment, please review our other job postings at ARLIS that align to your skills and capabilities and support current needs that we are seeking to fill immediately.
Must be able to obtain a U.S. security clearance. If selected, you must meet the requirements for access to classified information and will be subject to a government security clearance investigation that includes criminal and credit history checks, as well as verification of U.S. citizenship, birth, education, employment, and military history.

Minimum Qualifications:

Assistant level Research Scientist:  Ph.D. in a relevant field  Evidence of sound scholarly Production  Perform R&D at a level comparable to Assistant Professor  Expected to…