Lecturer of Data Science

Posting Number : PG193056EP

Internal Recruitment :

No

Working Title :

Lecturer of Data Science

Anticipated Hiring Range :

$4K per credit (additional compensation for course customization or supervisory duties as needed).

Work Schedule :

Varies depending on course assignment. (3 hours per week per credit or course equivalent.)

Job Location : Raleigh,NC

Department :

Data Science and AI Academy

About the Department :

The Data Science and AI Academy is the first of several NC State Academies, which are true university-wide efforts involving all 10 colleges. The Data Science and AI Academy’s goal is to network and catalyze data science across all three pillars of the university’s land-grant mission : education, research and service to the state of North Carolina. At NC State, data science and AI are for everyone.

The Data Science and AI Academy offers 1-credit project-based courses and customized non-credit courses on a variety of topics grounded in our ADAPT course model (All Campus Data Science Accessible Project-based Teaching and Learning). We seek instructors from industry, government and academia who are excited about broadening participation in data science and welcoming learners from many disciplines.

Wolfpack Perks and Benefits :

As a Pack member, you belong here, and can enjoy exclusive perks designed to enhance your personal and professional well-being.

What we offer :

• Medical , Dental , and Vision
• Flexible Spending Account
• Retirement Programs
• Disability Plans
• Life Insurance
• Accident Plan
• Paid Time Off and Other Leave Programs
• 12 Holidays Each Year
• Tuition and Academic Assistance
• And so much more!

Attain Work-life balance with our Childcare benefits, Wellness & Recreation Membership , and Wellness Programs that aim to build a thriving wolfpack community.

Disclaimer : Perks and Benefit eligibility is based on Part-Time or Full-Time Employment status. Eligibility and Employer Sponsored Plans can be found within each of the links offered.

Essential Job Duties :

The successful candidate(s) will teach undergraduate and / or graduate courses in Data Science according to the Data Science and AI Academy’s needs and the applicant’s knowledge, skills, and ability. Opportunities are also available to teach professional, customized, and continuing education Data at Work courses.

Our courses attract undergraduates, graduate students, faculty and staff from across the university as well as learners outside of the university. We have permanent and special topics courses at the 200 level (no prerequisites), 400 level (skills-based prerequisites, such as particular programming concepts) and graduate level courses at the 500 level. Instructors will join a professional teaching community that meets twice monthly to discuss data science teaching and learning research and practice.

The for-credit courses meet for 50 minutes once a week for a semester and can be delivered in person or online. Data at Work (not-for-credit) courses have a customized schedule.

Core Courses :

Appointments will be for one or two semesters with the possibility of renewal.

Note that this position is only for teaching a few (often just 1) credits, not full-time.

Minimum Education and Experience :

Other Required Qualifications :

Preferred Qualifications :

N / A

Required License(s) or Certification(s) :

N / A

Valid NC Driver's License required :

No

Commercial Driver's License required :

No

Job Open Date : 12 / 04 / 2023

Special Instructions to Applicants :

Please submit a curriculum vitae, cover letter and 3 reference contacts for consideration. Also required is a teaching statement of no more than 1 page that includes how your teaching practices help create a classroom environment that aligns with the ADAPT course model (see DSA website for details) and demonstrates NC State’s goals and values as described in the Wolfpack 2030 Powering the Extraordinary Strategic Plan : https : / / strategicplan.ncsu.edu / current-plan / wolfpack-2030-powering-the-extraordinary /

In your cover letter please list which of the following core courses you would like to be considered for as an instructor :

Optional : if you are interested in proposing a new course, include a draft of a course idea based on the ADAPT course model that includes the course title, a short course description, 4 to 6 learning objectives, an idea for final project, the level of the course (200, 400 or 500) and a list of prerequisite skills that are required for 400 and 500 level courses.

Position Number : DSA2024F-1

Position Type :

Non-Tenure-Track Faculty

Full Time Equivalent (FTE) (1.0 = 40 hours / week) :

Appointment : Non-Recurring

Mandatory Designation - Adverse Weather :

Non Mandatory - Adverse Weather

Mandatory Designation - Emergency Events :

Non Mandatory - Emergency Event

Department ID :

231010 - Data Science Academy

EEO :

NC State University is an equal opportunity employer. All qualified applicants will receive equal opportunities for employment without regard to age, color, disability, gender identity, genetic information, national origin, race, religion, sex (including pregnancy), sexual orientation, and veteran status. The University encourages all qualified applicants, including protected veterans and individuals with disabilities, to apply. Individuals with disabilities requiring disability-related accommodations in the application and interview process are welcome to contact 919-513-0574 to speak with a representative of the Office of Equal Opportunity.

If you have general questions about the application process, you may contact Human Resources at (919) 515-2135 or workatncstate@ncsu.edu .

Final candidates are subject to criminal & sex offender background checks. Some vacancies also require credit or motor vehicle checks. Degree(s) must be obtained prior to start date in order to meet qualifications and receive credit.

NC State University participates in E-Verify. Federal law requires all employers to verify the identity and employment eligibility of all persons hired to work in the United States.