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Inside Higher Ed

Instructor, BAT Artificial Intelligence - Adjunct Pool

Inside Higher Ed, Houston, Texas, United States, 77246

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Instructor, BAT Artificial Intelligence - Adjunct Pool Location:

Houston, Texas, West Loop Center

Position type:

Adjunct

Posting date:

Jan 10, 2025

Summary:

Provide the expertise and knowledge that support the college curriculum and programs. Establish courses following accepted higher education standards, teach students using a variety of effective methodologies and provide engagement and support activities that encourage student learning. The role of the Instructional Faculty encompasses teaching and learning, academic advising, professional development, and institutional and community service. The incumbent may teach a maximum load of 9.75 contact hours per week each semester in area(s) of competency and participate as a part‑time instructor in the activities of the department, division, and college.

ESSENTIAL DUTIES AND RESPONSIBILITIES

Teaching: Demonstrate skill and or knowledge in teaching discipline.

Make continuous efforts to improve the quality of instruction by reviewing and utilizing innovative methodologies, techniques and delivery methods.

Develop and use a syllabus for each course or laboratory within college, discipline, and departmental guidelines and submit one copy to the department chair.

Plan, develop, and use a variety of teaching methods and materials that assist students in meeting course objectives and which are appropriate for students with differing educational and experiential backgrounds and learning styles.

Evaluate students to measure their progress toward achievement of stated course objectives and inform them of their progress in the course in a timely manner.

Keep accurate student records and submit related reports and forms within requested timelines.

Review, evaluate, and recommend student textbooks and learning materials.

Teach courses at a variety of times, locations, and modalities in response to institutional programmatic needs.

Develop and maintain an LMS shell for each assigned course.

Use equipment and facilities responsibly and courteously. Where appropriate, assist the chair with the routine maintenance of instructional laboratories.

Demonstrate competence and interest in the use of technology in the classroom and willingness to explore new instructional methodologies.

Academic Advising: Maintain professional relationships with students, colleagues, and the community.

Provide access to students through posted office hours, electronic communication, and other appropriate methods. Provide advice and assistance to students regarding instructional or program‑specific issues during class time and office hours.

Professional Development: Establish annual objectives for professional growth in consultation with the department chair.

Keep pace with developments in the discipline.

Learn technologies that support student learning.

Participate in department‑required annual evaluation process.

Institutional and Community Service: Part‑time faculty are encouraged but not required to participate in department, college, or district committees and governance organizations.

Be familiar with and adhere to all policies and procedures of HCCS.

Participation in activities required to maintain program and college accreditation standards.

QUALIFICATIONS Education:

Master’s degree (or 18 graduate level hours) in a STEM‑related field such as Artificial Intelligence, Data Science, Engineering, Physics, Computer Science, or other related science major required. Doctorate degree in the aforementioned fields preferred. Copy of transcript conferring required degree and certifications must accompany application.

Experience:

3 years industrial experience in Machine Learning, Artificial Intelligence AI/ML, Deep Learning, Cloud Computing, Applications Development, Cybersecurity, IT, Computer Science, System Support, Databases/Fulfillment, Storage, Electrical Systems, Software Design/Development, Programming or Robotics required. Beyond expertise in machine learning, preference will be given to applicants with real‑world experience in one or more of the following: virtual systems, operating systems, assembly language, programming languages (esp. C++, Python, R, Java, Objective‑C, Azure, and/or Swift), cloud computing, reverse engineering, computer networks, information security, digital forensics, risk analysis & mitigation, or policy development. AI industry credentials including AWS, Google preferred.

Willing and able to teach day or evening classes at a number of sites around the city.

Knowledge and skill in a variety of computer usage and software are required.

Excellent interpersonal skills and the ability to communicate effectively.

Possess good organizational and planning skills.

Demonstrate sensitivity to students with different academic and socio‑economic backgrounds and students with disabilities.

Demonstrated ability to inspire and motivate students in a learning‑centered environment.

Self‑disciplined and able to effectively manage others.

EEO STATEMENT Houston Community College Does Not Discriminate On The Bases Of Race, Color, Religion, Sex, Gender Identity And Expression, National Origin, Age, Disability, Sexual Orientation Or Veteran’s Status.

Contact:

Osvaldo Gomez, Director EEO/Compliance, Title IX Coordinator

Phone: 713‑718‑8271

Email: hcc.oeotix@hccs.edu

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