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              Research Engineer in Interdisciplinary Intelligence and Security Research

              Posting Details

              Posting Details

              Position Number: 116273
              Title: Research Engineer
              Functional Title: Research Engineer in Interdisciplinary Intelligence and Security Research
              Category Status: 15-Fac.Non-Tenured,Continuing Con
              Applicant Search Category: Faculty
              University Authorized FTE: 1.000
              Unit: VPR-Applied Research Lab for Intelligence & Security
              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.

              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 interdisciplinary teams of e.g. social scientists, computer scientists, psychologists, linguists, cognitive neuroscientists, applied mathematicians, political scientists, policy analysts, and systems engineers.

              ARLIS is actively seeking research engineers (in the full, Associate, and Assistant 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 past experience in industry or US Government but has demonstrated experience building systems and delivering solutions to a defined customer.
              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; and
              ? Software engineering, static/dynamic software analysis, formal methods, applied mathematics, systems verification and validation, metric development, testbed design, and trusted AI.

              Salary is dependent on experience, qualifications, and hiring level.

              Minimum Qualifications:

              ? A doctorate or its equivalent at the time of application. For exceptional candidates, equivalent experience will also be considered.
              ? Demonstrated continuous and effective engagement in independent and creative research activity of high quality and significance
              ? Experience in grant writing and working on technical teams
              ? Strong communications, presentation and writing skills
              ? Must be eligible for a U.S. security clearance.

              Preferences:

              ? Experience as Principal Investigator or Co-PI on awards (or submitted awards)
              ? Management and leadership experience in technical or other relevant areas
              ? Program and project management expertise
              ? Experience in customer relationship management
              ? Willingness to travel
              ? Active TS with SCI eligibility

              Additional Certifications:

              Required Documents
              1) An updated CV
              2) Statement of interest/cover letter
              3) 1-3 samples of scholarly publications
              4) Names and contact info of 3 references

              Additional samples of scholarly work are optional, but may be requested at a later date if not provided at time of application.

              Additional Information:
              Posting Date: 11/01/2019
              Closing Date:
              Open Until Filled Yes
              Best Consideration Date 12/01/2019
              Physical Demands

              Work is performed in an office environment and requires the ability to operate standard office equipment and keyboards. Must have the ability to walk short distances, and/or drive a vehicle to deliver and pick up materials.

              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.

              Applicant Documents

              Required Documents
              1. Cover Letter
              2. Curriculum Vitae
              3. Research (examples: research statement, research programs)
              Optional Documents

              Posting Specific Questions

              Required fields are indicated with an asterisk (*).

              1. * How did you hear about this position?
                • 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
                • Craigs List
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