Lecturer of Data Science

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North Carolina State University

Location: Raleigh, North Carolina
Category: Faculty-Science-Other Science
Application Deadline:

Job Description

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.

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:

Introduction to R/Python for Data Science,
Introduction to Data Visualization,
Data Communication,
Introduction to AI Ethics,
Data Science for Social Good,
Introduction to Data Science for Cybersecurity
Measuring Success
Data Wrangling and Web Scraping,
Data Internships Preparation for Social Impact
Exploring Machine Learning

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

Requires master’s degree

Other Required Qualifications

Excellent strong communication and interpersonal skills and sense of collaboration.

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:

Introduction to R/Python for Data Science,
Introduction to Data Visualization,
Data Communication,
Introduction to AI Ethics,
Data Science for Social Good,
Introduction to Data Science for Cybersecurity
Measuring Success
Data Wrangling and Web Scraping,
Data Internships Preparation for Social Impact
Exploring Machine Learning

Optional: if you are interested in proposing a new course, include a draft of a course idea based on theADAPT 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)

.075

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

AA/EEO

NC State University is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sex, gender identity, age, sexual orientation, genetic information, status as an individual with a disability, or status as a protected veteran. Individuals with disabilities requiring disability-related accommodations in the application and interview process are welcome to contact 919-515-3148 to speak with a representative at the Office of Institutional Equity and Diversity.

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.

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