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ARLIS Intelligence and Security Research Scientist

1 month ago

Little Rock, United States University of Maryland Full time

ARLIS Intelligence and Security Research Scientist Functional Title: ARLIS Intelligence and Security Research Scientist Category Status: Category Status: 15-Fac.Non-Tenured,Continuing Con Applicant Search Category: Applicant Search Category: Faculty University Authorized FTE: University Authorized FTE: 1.000 Unit: Campus/College Information: Founded in 1856, University of Maryland, College Park is the state’s flagship institution. Our 1,250-acre College Park campus is just minutes away from Washington, D.C., and the nexus of the nation’s legislative, executive, and judicial centers of power. This unique proximity to business and technology leaders, federal departments and agencies, and a myriad of research entities, embassies, think tanks, cultural centers, and non-profit organizations is simply unparalleled. Synergistic opportunities for our faculty and students abound and are virtually limitless in the nation’s capital and surrounding areas. The University is committed to attracting and retaining outstanding and diverse faculty and staff that will enhance our stature of preeminence in our three missions of teaching, scholarship, and full engagement in our community, the state of Maryland, and in the world. Offers of employment are contingent on completion of a background check. Information reported by the background check will not automatically disqualify you from employment. Position Summary/Purpose of Position: The Applied Research Laboratory for Intelligence and Security ( ARLIS ), based at the University of Maryland College Park, was established in 2018 under the auspices of the Office of the Under Secretary of Defense for Intelligence ( USDI ) to be a strategic asset for research and development in social systems, autonomy and augmentation, and advanced computing. One of only 14 designated Department of Defense University Affiliated Research Centers (UARCs) in the nation and the only UARC focused on supporting the intelligence community, ARLIS conducts both unclassified and classified research spanning from basic to applied system development and works to serve the US Government as an independent and objective trusted agent. 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 at ARLIS . Applications 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. Minimum Qualifications and Expectations – 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 begin to apply as a PI for single-investigator proposals and to be co-PIs on larger proposals Demonstrate all the relevant skills required for carrying out research in a laboratory setting and have been externally recognized by through awards, invited conference talks, etc. Citizenship within ARLIS and UMD may include serving on ARLIS and university committees, presenting at internal forums, and mentoring/advising Professional service may include reviewing of journal publications, white papers, statements of work, and proposals; and helping to organize conferences, workshops, and visits by external stakeholders Must be eligible for a U.S. security clearance Minimum Qualifications and Expectations – Associate level Research Scientist: PhD in a relevant field plus 5 years research experience at the Assistant Research Scientist level Significant scientific research accomplishments, show promise of continued productivity, and have the ability to propose, develop, and manage research projects Perform research at a level comparable to Associate Professor. Expected to identify funding opportunities and serve as PIs or co-PIs on large proposals. Develop a reputation for preeminence in their particular specialization and to receive commensurate independent or external recognitions (awards, invited to provide keynote addresses, etc.). Ability to grow the departmental/unit service and drive PTK mentoring and participate in Professional Track promotion sub-committees. Professional service contributions are significant and, when possible, include regular service on review panels for funding agencies Interact regularly with sponsor/customers Must be eligible for a U.S. security clearance Minimum Qualifications and Expectations – Full Research Scientist: PhD in a relevant field plus 10 years of experience leading and performing research Pursue funding opportunities and serve as Principal Investigator or have primary responsibility for a significant part of a multi-investigator project Lead engagements with sponsor/customers Serve in a leadership role at ARLIS and drive key initiatives and business development opportunities to grow the program Expand relationships with relevant departments and centers on campus Hold leadership positions within ARLIS , on campus (e.g., committee membership for the Faculty Senate), or on professional committees National or international recognition as a subject matter expert Have earned and received national, international, and prestigious recognitions for research accomplishments Mentor students and less experienced researchers Must be eligible for a U.S. security clearance Preferences: Preferred Qualifications for all Research Scientist Levels: Experience as Principal Investigator (PI) or Co-PI on awards (or submitted awards) Management and leadership experience in technical or other relevant areas Program and project management expertise (possible PMP ) Experience in customer relationship management Willingness to travel Active TS with SCI eligibility Additional Certifications: Additional Information: Posting Date: Posting Date: 04/12/2024 Closing Date: Open Until Filled Yes Best Consideration Date Best Consideration Date 04/26/2024 Physical Demands Sedentary work performed in a normal office environment; exerts up to 10 pounds of force occasionally and/or negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects, including the human body. Ability to attend meetings both on and off campus. Spending long hours in front of a computer screen. Diversity Statement: The University of Maryland, College Park, an equal opportunity/affirmative action employer, complies with all applicable federal and state laws and regulations regarding nondiscrimination and affirmative action; all qualified applicants will receive consideration for employment. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, religion, sex, national origin, physical or mental disability, protected veteran status, age, gender identity or expression, sexual orientation, creed, marital status, political affiliation, personal appearance, or on the basis of rights secured by the First Amendment, in all aspects of employment, educational programs and activities, and admissions. Required Documents Cover Letter Curriculum Vitae List of References (no emails sent from system) Optional Documents Posting Specific Questions Required fields are indicated with an asterisk (*). * Are you able to obtain and maintain a US Government Security Clearance? Yes No * How did you hear about this position? LinkedIn UMD Job Site Personal Referral Washington Post Baltimore Sun Local Publication Chronicle of Higher Education Inside Higher Education INDEED HERC Hispanic Outlook Diverse Jobs HigherEdJobs Professional Journal Listserv Other SimplyHired CareerBliss Job Fairs Monster.Com Craigslist UMD Job Fair CareerBuilder 1100 Chesapeake Bldg University of Maryland College Park, MD 20742 uhr.umd.edu Current UMD Employees: Please create a case with HR on AskHR.umd.edu Anyone not currently employed at UMD: Please email uhrconnect@umd.edu #J-18808-Ljbffr