Synced from Workday · Oct 15

Part Time - Artificial Intelligence - Adjunct Lecturer

Penn State University (Academic)Penn State HarrisburgPosted Oct 15, 2026
College ProfessorJunior
Apply with one profileSave & get alerts

Mirrored from Penn State University (Academic)'s own Workday careers system · refreshed hourly

427
Other open Penn State University (Academic) roles
Oct 15
Posted
Workday
Applicant system
Job description

APPLICATION INSTRUCTIONS:

 

Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants.

 

JOB DESCRIPTION AND POSITION REQUIREMENTS

The Pennsylvania State University, Harrisburg, School of Business Administration, invites applications from qualified candidates for a part-time lecturer position to teach AI 100: Artificial Intelligence: Automated Thinking to Augment Human Intellect during the Spring 2027 Semester and beyond.


These openings are one semester in duration and non-tenure-track, with the possibility of reappointment.


This 3-credit General Education course provides students with a foundational understanding of artificial intelligence, including its history, core concepts, capabilities, limitations, and real-world applications. The course also examines the ethical, social, and organizational implications of AI across a variety of contexts. We seek a dynamic and knowledgeable instructor who can engage a diverse group of undergraduates, many of whom may be encountering the study of artificial intelligence for the first time. The successful candidate should be able to communicate both the opportunities and challenges associated with AI in an accessible and engaging manner.

Job Duties


  • Deliver engaging lectures based on the established curriculum and syllabus.
  • Prepare class materials, assignments, and assessments.
  • Facilitate discussions on the opportunities, limitations, and societal impacts of artificial intelligence.
  • Hold regular office hours to support students.
  • Use Canvas, Penn State's learning management system, to manage course content and communication.
  • Contribute to a positive and inclusive learning environment.

Requirements and Qualifications


  • A minimum of a master's degree in information systems, information technology, computer science, data analytics, artificial intelligence, or a closely related field is required.
  • Prior college-level teaching experience.
  • Familiarity with AI concepts, including machine learning, natural language processing, computer vision, generative AI, and the social and ethical implications of AI.
  • Familiarity with the application of AI in business, healthcare, education, government, and other domains.
  • Strong communication and interpersonal skills.

Required Application Materials:


  • Candidates should upload a Curriculum Vitae (CV)/resume and a letter of application indicating area(s) of interest.
  • In addition, candidates should be prepared to provide the names, titles, and contact information (telephone, e-mail, and mailing address) of three (3) professional references, if requested.
  • Applications will be received on an ongoing basis and will be reviewed as the need arises.


Application Review

Applicants will be evaluated based on academic background, professional experience, teaching effectiveness, and demonstrated knowledge of artificial intelligence and its applications.

 

BACKGROUND CHECKS/CLEARANCES

Employment with the University will require successful completion of background check(s) in accordance with University policies.

 

 

 

CAMPUS SECURITY CRIME STATISTICS

Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.

 

EEO IS THE LAW

Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.

 

Penn State is committed to and accountable for advancing equity, respect, and belonging. We embrace individual uniqueness, as well as a culture of belonging that supports equity initiatives, leverages the educational and institutional benefits of inclusion in society, and provides opportunities for engagement intended to help all members of the community thrive. We value belonging as a core strength and an essential element of the university’s teaching, research, and service mission.

 

Federal Contractors Labor Law Poster

PA State Labor Law Poster

Penn State Policies

Copyright Information

Hotlines

View original posting on Workday

What applying to Penn State University (Academic) usually looks like

Based on publicly available information, candidates applying through Workday for roles at this university can typically expect a structured online application requiring a detailed profile, resume upload, and often supplemental questions or cover letters, especially for academic and administrative positions. The process may include multiple stages, such as initial screening, committee or departmental review, and one or more interviews that could involve presentations, teaching demonstrations, or portfolio reviews depending on the role. Given the wide range of position types—from faculty to technical and operational roles—requirements and evaluation criteria commonly vary significantly by department. Response times vary and applicants may need to check their Workday portal for status updates. Candidates should generally prepare thorough documentation, including references and transcripts, as these are commonly requested during the review process.

Based on publicly available information. LandEarly does not verify interview process details.

Land this one early - before the req fills.

LandEarly tailors your resume and screening answers to each posting, submits while the role is still new, and tracks every application in one place.

Set up in minutes · Cancel anytime · No contract

Keep exploring

Other boards and feeds people browse after this one.

Part Time - Artificial Intelligence - Adjunct Lecturer
Penn State University (Academic) · Penn State Harrisburg
Apply