Lecturer of Data Science
Job Description
Posting Number
PG193056EPInternal Recruitment
NoWorking Title
Lecturer of Data ScienceAnticipated 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,NCDepartment
Data Science and AI AcademyAbout 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.
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.
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.
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
NoCommercial Driver's License required
NoJob Open Date
12/04/2023Special 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-1Position Type
Non-Tenure-Track FacultyFull Time Equivalent (FTE) (1.0 = 40 hours/week)
.075Appointment
Non-RecurringMandatory Designation - Adverse Weather
Non Mandatory - Adverse WeatherMandatory Designation - Emergency Events
Non Mandatory - Emergency EventDepartment ID
231010 - Data Science AcademyAA/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.
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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