Posting Details
Posting Details
Position Number: | 127912 |
---|---|
Title: | Faculty Specialist |
Functional Title: | Machine Learning Engineer |
Category Status: | 15-Fac.Non-Tenured,Continuing Con |
Applicant Search Category: | Faculty |
University Authorized FTE: | 100 |
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. |
Background Checks | 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: | ARLIS seeks to hire a machine learning engineer as a Faculty Specialist (all ranks). 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. You will be part of up to two or three project teams, which might include:
As a machine learning engineer and Faculty Specialist, you will be expected to:
You will also coordinate closely with engineering team to:
If you are a more senior experienced professional, you also will:
This is a full-time professional track faculty position (PTK) at the University of Maryland with benefits. Salary is dependent on experience, qualifications, and hiring level. The preferred start date is as soon as possible. |
Minimum Qualifications: | Education:
Experience:
Knowledge, Skills, and Abilities:
Candidate must be able to obtain and maintain a Top Secret level security clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship. |
Preferences: | Preferences:
|
Additional Certifications: | |
Additional Information: | This position is with the Applied Research Laboratory for Intelligence & Security (ARLIS) – a University Affiliated Research Center (UARC) under the UMD Vice President for Research (VPR). ARLIS is a growing organization with a start-up atmosphere of independence and autonomy; we are looking for people who thrive in an environment of significant project ownership and responsibility for outcomes. Title and salary are commensurate with a candidate’s qualifications. |
Posting Date: | 11/15/2022 |
Closing Date: | |
Open Until Filled | Yes |
Best Consideration Date | 12/31/2022 |
Physical Demands | The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Work is performed in a traditional office environment and requires the ability to operate standard equipment and keyboards. The position may require viewing a computer terminal, reading, and/or analyzing information. The position may require the incumbent to maneuver short distances to attend meetings on and off campus. The incumbent may be required to exert up to 20 pounds of force occasionally and/or negligible amount of force to lift, carry, push, pull or otherwise move objects. |
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. |
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