Research Assistant

Location

Beaumont, TX

Job Type

Part-Time Student

Job Number

202500186

Home Org

Computer Science

Opening Date

09/24/2025

Closing Date

8/31/2027 11:59 PM Central

FLSA

Exempt

Job Summary

The Computer Science Department is seeking a motivated and technically skilled Research Assistant to support faculty-led projects. This position is designed for graduate students in the Computer Science MS program and involves applied research in machine learning, data science, and algorithm design. The Research Assistant will conduct literature reviews, design and evaluate models, analyze data, and prepare technical reports and presentations.

Essential Job Functions

What You’ll Do – Position Responsibilities

• Conduct literature reviews to support ongoing research
• Design, implement, and evaluate models and algorithms
• Collect, clean, and preprocess large datasets
• Perform statistical and computational analysis to validate results
• Develop scripts, tools, and pipelines to support research activities
• Visualize results and prepare reports, research papers, and presentations
• Collaborate with faculty and graduate students on interdisciplinary projects
• Document code, experiments, and methodologies for reproducibility

Minimum and Desired Qualifications

• Must be a Lamar University graduate student enrolled in the Computer Science MS program
• Minimum 3.0 GPA
• Must live on campus
• Strong ability to work independently and meet deadlines
• Familiarity with cloud platforms (AWS, Azure, or GCP) for data-intensive research
• Knowledge of deep learning architectures (CNNs, RNNs, Transformers)
• Strong communication and technical writing skills

Lamar University is An Equal Opportunity Employer

Lamar University is proud to provide employment preference to veteran applicants in accordance with Texas 805 Government Code, Section 657.003.

This position is security-sensitive and thereby subject to the provisions of the Texas Education Code §51.215, which authorizes the employer to obtain criminal history record information.