Research Assistant

Texas A&M University System • College Station, TX

3d • Onsite

About The Position

Texas A&M’s Oceanography Department is looking for a Research Assistant who will be responsible for analyzing and preparing machine learning training data and conducting machine learning model training under supervision. The Research Assistant will write reports and assist in the preparation of documents and may contribute to research papers, articles, and publications. The Research Assistant will also assist in the maintenance of data servers and workstations.

Requirements

• Bachelor's degrees in Computer Science.
• Ability to sit for long periods of time while working on the computer.
• Knowledge of computers and computer software related to the position.

Nice To Haves

• Master's degrees in Computer Science.
• Experience with Deep learning and Earth remote sensing.
• Physical oceanography.
• Excellent verbal and written skills.
• Presentation skills.
• Analytical skills.
• Attention to detail.

Responsibilities

• Prepare, curate, analyze, and summarize research data to support machine learning model training, evaluation, and interpretation of results.
• Train and evaluate machine learning models and contribute findings to written research reports and technical documentation.
• Prepare research reports, technical progress updates, and presentation materials for delivery to both small and large audiences.
• Maintain and update research code repositories in the lab’s GitHub environment, manage the team website, and support research data servers.

Benefits

• Medical, prescription drug, dental, vision, life and AD&D, flexible spending accounts, and long-term disability insurance with Texas A&M contributing to employee health and basic life premiums
• 12-15 days of annual paid holidays
• Up to eight hours of paid sick leave and at least eight hours of paid vacation each month
• Automatic enrollment in the Teacher Retirement System of Texas
• Free exercise programs and release time
• All employees have access to free LinkedIn Learning training, webinars, and limited financial support to attend conferences, workshops, and more
• Educational release time and tuition assistance for completing a degree while a Texas A&M employee

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level