Temporary-Technical​/Paraprofessional

Posting Number

PG196230TM

Position Number

06

HES1

Position Type

Temporary

Essential

Job Duties

The North Carolina Institute for Climate Studies (NCICS) in Asheville, NC is currently seeking two temporary student interns to work remotely on a new project.
This internship will involve working with NCICS scientists and NOAA collaborators in the application of machine learning techniques to analyze environmental observations and satellite data, with the goal of improving understanding of extreme event impacts in communities in the southeastern U.S. The student(s) will collaborate with other interns during the project to learn state-of-the-art machine learning models and tools, as well as other advanced data analytics skills.

Is

Time Limited

No

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. As you consider this opportunity, we encourage you to review our
Employee Value Proposition and learn more about what makes NC State the best place to learn and work for everyone.

What we offer:

• Health Insurance for Temporary Employees
• Enhance your career with LEAD courses
• Attend non-revenue generating sporting events for free.

Attain Work-life balance with our Childcare discounts
, 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. Job City & State

Asheville, NC

Department

NC Institute for Climate Studies

Classification Title

Temporary-Technical/Paraprofessional

Working Title

Temporary-Technical/Paraprofessional

Work Schedule

Monday-Friday

Minimum Experience/Education

High school diploma, or equivalent, and college coursework pursing an undergraduate or graduate degree in computer science, statistics, environmental science, mathematics, engineering, meteorology, atmospheric science, or related field.

Department Required Skills

• Direct experience with applied machine learning and/or large language models (LLM).
• Experience performing statistical analyses.
• Experience working with environmental data.
• Excellent verbal and written communication skills, and strong interpersonal skills.
• The ability to multitask and meet strict deadlines.
• The ability to work independently as well as make positive team contributions.

Preferred Years Experience, Skills, Training, Education

N/A

Required License or Certification

BS in Computer Science, Statistics, Environmental Science, Mathematics, Engineering, Meterology, Atmospheric Science, or Related Field and pursuing a graduate degree

Valid NC Driver's License required

No

Commercial Driver's License Required

No

Anticipated Hiring Range

$15-20 DOQ

Job Open Date

09/30/2026

Quick Link

(Use the "Apply for this Job" box below)./235378

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  to speak with a representative of the Office of Equal Opportunity.

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.