Lecturer

University of Maryland; College Park (MD); Hybrid; USD 36,000 - 101,000; Part time

Job summary

The Artificial Intelligence Interdisciplinary Institute at Maryland (AIM) invites applications for Professional Track Faculty positions to teach in the BS in AI program at the University of Maryland, College Park. These are non-tenure track roles focused on foundational and interdisciplinary AI topics, contributing to AIM's campus-wide education mission.

Courses to be taught include CMSC141, CMSC142, CSAI216, CSAI220, CSAI221; a PhD is preferred for some candidates.

Qualifications

• The successful candidate will hold an MS degree (PhD preferred) in computer science or a related field.
• Non-tenure track Professional Track Faculty appointment.

Responsibilities

• Teach in the BS in AI program, including listed CS courses.
• Contribute to AIM's interdisciplinary AI education initiatives across campus.

Education

M.S. degree (Ph.D. preferred) in computer science or related field

Job description

Job Description Summary & Additional Information

The Artificial Intelligence Interdisciplinary Institute at Maryland (AIM; aim.umd.edu) has openings for instructional faculty positions to teach in its Bachelor of Science (BS) in AI program, which focuses on technical foundations of AI in addition to exposing students to interdisciplinary applications and societal implications of AI. These openings are for Professional Track Faculty (non-tenure track) positions. All Professional Track Faculty members in AIM will work with our bright and amazing students and play a key role in teaching our artificial intelligence curricula. As members of AIM, successful applicants will join and help further our mission of defining and engaging in interdisciplinary AI education across all of the UMD College Park campus, and in building a thriving and inclusive AI community. Strong candidates will be considered in all areas of AI that align with AIM’s BS in AI program. The BS in AI is a highly technical program that trains students to build new AI systems and algorithms from the ground up, understand the training of models from both a data and systems perspective, and then use those techniques in interdisciplinary applications. Specializations will include: Generative AI; AI, Society, and Decision Making; AI Algorithms; Accessibility; and Robotics. We are especially looking for candidates that are interested in actively participating in a strong community of AI-related scholars across disciplines. The successful candidate will hold an M.S. degree (Ph.D. preferred) in computer science or a related field.

Courses to be Taught:

• CMSC141 Programming with Purpose I: Data-Centric Computing
• CMSC142 Data Structures and Algorithms
• CSAI216 Efficient Systems for AI Applications
• CSAI220 Measuring Preferences and Rankings
• CSAI221 Classical AI Algorithms

Physical Demands: Normal classroom teaching demands.

Preferences: Candidates with a PhD and a willingness to teach advanced upper-level courses in the candidate’s area of specialization.

Required Application Materials: CV, cover letter, teaching portfolio

Best Consideration Date: 9/11/2026 Posting Close Date: Open Until Filled: Yes Department CMNS-AIM Worker Sub-Type Faculty Non-Regular (Fixed Term) Salary Range $35,907 - $101,193

Background Checks

Offers of employment are contingent on completion of a background check. Information reported by the background check will not automatically disqualify anyone from employment. Before any adverse decision, the finalist will have an opportunity to provide information to the University regarding disclosable background check information. The University reserves the right to rescind the offer of employment or otherwise decline or terminate employment if the information reported by the background check is deemed incompatible with the position, regardless of when the background check is completed.

Employment Eligibility

The successful candidate must complete employment eligibility verification (on Form I-9) by presenting documents that establish identity and work authorization within the timeframe required by federal immigration law, and where applicable, to demonstrate renewed employment authorization. Failure to complete employment eligibility verification or reverification within the timeframe set forth by law may result in suspension or termination of employment.

EEO Statement

The University of Maryland, College Park is an Equal Opportunity Employer. All qualified applicants will receive equal consideration for employment. Please read the University’s Equal Employment Opportunity Statement of Policy.

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EEO Statement

The University of Maryland, College Park is an Equal Opportunity Employer. All qualified applicants will receive equal consideration for employment. Please read the University’s Equal Employment Opportunity Statement of Policy.

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