Data Science Instructor - 1-Credit Courses (Flexible)

NC State University; Raleigh (NC); Hybrid; USD 24,000 - 36,000; Part time

Benefits offered by this job

Wolfpack perks

Not-for-credit teaching opportunities

Job summary

NC State University in Raleigh, NC invites applications for a Lecturer of Data Science in the Data Science and AI Academy. The position involves teaching 1-credit and not-for-credit courses, with opportunities for course customization and supervision duties as needed.

Appointments span one or two semesters with renewal possibilities and are not full-time. The department promotes ADAPT teaching models and welcomes instructors from industry, government and academia to broaden participation in data

Qualifications

• Strong communication and interpersonal skills with a collaborative approach to learners and colleagues.
• Teaching or facilitation skills suited to learners with varying levels of technical knowledge.
• Skill in translating technical concepts into practical, understandable applications for learners’ work or academic goals.
• Experience developing and delivering engaging learning experiences using appropriate instructional methods and technology.
• Adaptability and responsiveness to different audiences, course formats, and learner needs.

Responsibilities

• Teach 1-credit projects and not-for-credit courses across topics listed, in person or online.
• Develop and deliver engaging learning experiences using appropriate instructional methods and technology.
• Instructors may teach for one or two semesters with the possibility of renewal; opportunities are not for full-time employment.

Skills

Strong communication

Teaching experience

Instructional design

Translate technical concepts

Job description

NC State University in Raleigh, NC invites applications for a Lecturer of Data Science in the Data Science and AI Academy. The position involves teaching 1-credit and not-for-credit courses, with opportunities for course customization and supervision duties as needed.

Appointments span one or two semesters with renewal possibilities and are not full-time. The department promotes ADAPT teaching models and welcomes instructors from industry, government and academia to broaden participation in data