Post-undergraduate Research Assistant- Atmospheric Science

Apply now Job no: 498777
Work type: Temporary Staff
Location: Grand Forks
Categories: Research

Salary/Position Classification

  • $18.50 hourly, Non-Exempt (Eligible for overtime)
  • 20 hours per week
  • This position requires onsite work at our Grand Forks, ND campus

Purpose of Position

Dr. David Delene in the Department of Atmospheric Sciences is seeking a post-undergraduate student with an interest in data processing, applied research and atmospheric sciences. This is intended for people who have completed an undergraduate degree and are interested, or plan to attend graduate school.

Duties & Responsibilities:

The person will support research projects and assist with preliminary work related to ongoing and upcoming research efforts. The person’s work may include the following tasks:

  • Assisting with gather and organize data from approved sources (public datasets, sensors, instruments, and/or model outputs).
  • Assisting with alignment of datasets in time and space when needed.
  • Assisting with process and analyze of datasets, creating basic plots, and running quality-control checks
  • Reviewing created structured datasets.
  • Reviewing document on datasets and workflows.

Required Competencies

  • Leadership
  • Professionalism
  • Critical thinking & problem-solving skills
  • Technology
  • Collaboration & teamwork
  • Learning & Application
  • Strong organization and willingness to document work
  • Ability to work independently, manage time well.

Minimum Requirements

  • Undergraduate degree
  • Interest in working with undergraduates on research projects.
  • Basic data-tool skills (e.g., Python coding).
  • Successful completion of a Criminal History Background Check

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the US and to complete the required employment eligibility verification form upon hire. This position does not support visa sponsorship for continued employment.

Preferred Qualifications

  • Comfort working in a Linux environment or using command line tools.
  • Familiarity with Python for basic data processing and plotting.
  • Experience creating basic figures (time series, scatter plots, histograms) and writing short summaries of results.
  • Good communication skills: clear progress updates, asking questions early, and tracking tasks in a simple workflow.

To Apply

To ensure a successful screening, make sure your application materials reflect how you meet the minimum requirements for this position.

Advertised: Central Daylight Time
Applications close: Central Daylight Time

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