Research Assistant

Job Title

Research Assistant

Agency

Texas A&M University

Department

Educational Adm & Human Resources Development

Proposed Minimum Salary

Commensurate

Job Location

College Station, Texas

Job Type

Staff

Job Description

Who we are

The Department of Educational Administration and Human Resource Development (EAHR) develops educational leaders and improves practice through teaching, research, and service in the areas of public school administration, human resource development, higher education administration, adult education, and student affairs administration.  To learn more, please visit https://eahr.tamu.edu/.

What we want

The Research Assistant provides administrative, technical, and computational support for AI-driven and data-intensive research projects. Assists with project phases, including data processing, software development, model implementation, and analysis. Supports proposal preparation, maintains research systems and computing environments, and collaborates with faculty, students, and technical staff on AI, data science, and computer engineering initiatives.

What you need to know

Salary: Commensurate

Special Instructions: A cover letter, resume, and contact information for three professional references (to include at least one previous supervisor) are strongly recommended. You may upload all three on the application under CV/Resume or upon answering the questionnaire you may attach the documents. 

Please Note: This position is grant funded; future employment may be contingent upon future funding.  

Qualifications

Required Education

• Bachelor’s degree in a Computer Science or relevant field or an equivalent combination of education and experience.

Preferred Qualifications

• Master’s degree in computer science or a related field, with experience in AI/ML and software development

• Proficiency in programming (e.g., Python, Java, C++) and machine learning frameworks (TensorFlow, PyTorch, Scikit-learn)

• Experience with data structures, algorithms, cloud platforms, APIs, and deployment tools

• Familiarity with advanced AI areas (deep learning, NLP, computer vision) and MLOps practices (CI/CD, containerization, distributed systems)

Knowledge, Skills, and Abilities

• Strong understanding of AI/ML concepts, model development, deployment, and responsible AI practices

• Excellent analytical, problem-solving, and attention to detail with a commitment to quality

• Ability to manage multiple priorities and work independently and collaboratively in team environments

• Strong communication skills with the ability to explain technical concepts to non-technical audiences and support continuous innovation

Responsibilities

Research

• Assists in the design, development, and coordination of AI-driven research initiatives and computational experiments supporting multiple projects in data science and computer science.

• Applies established methodologies in machine learning, data engineering, and computational analysis, maintaining detailed documentation of datasets, model configurations, and experimental results.

• Supports the development, deployment, and maintenance of AI platforms, software tools, and data pipelines; may assist in troubleshooting, debugging, and optimizing system performance.

• Utilizes programming languages, statistical software, and advanced computing environments to conduct data analysis, model training, evaluation, and technical assessment of research o