Research Engineer I (AI Cybersecurity)

Location: Main Campus, College Station, Texas, United States; onsite

Company

Texas A&M Engineering, including the Texas A&M Engineering Experiment Station, conducts basic and applied engineering research and supports technology transition, workforce development, and public-service initiatives.

What you will do

• Develop and implement machine learning algorithms for detecting cyber-physical attacks in electric power systems.
• Design and implement real-time analytics using Python and TensorFlow.
• Conduct research in AI-enabled cybersecurity for electric power systems.
• Analyze research data and present findings through technical documentation and presentations.
• Contribute to collaborative, multidisciplinary research projects and team initiatives.
• Apply advanced knowledge from doctoral research in artificial intelligence and power systems cybersecurity.

Requirements

• Bachelor’s degree.
• Experience or knowledge in machine learning, power systems, or cybersecurity is helpful.
• Proficiency in Python and familiarity with machine learning frameworks such as TensorFlow are helpful.
• Understanding of electric power systems and cybersecurity concepts.
• Strong analytical, problem-solving, and collaborative skills.
• Employment requires completion of Form I-9 and proof of authorization to work in the United States by the third day of employment.

Nice to have

• Bachelor’s degree in Electrical Engineering, Computer Science, or a related field.
• Master’s or PhD in Electrical Engineering, Computer Science, or a related discipline.
• Research experience in machine learning, power systems, or cybersecurity.

Culture & Benefits

• Medical, prescription, vision, dental, life, and long-term disability insurance options.
• Defined-benefit retirement plan with an 8.25% employer contribution, plus voluntary retirement programs.
• Paid holidays, vacation, and sick leave.
• Professional development through LinkedIn Learning, training opportunities, tuition assistance, and educational release time.
• Wellness programs and release time supporting health, fitness, and work-life balance.

Hiring process

• Submit a resume or CV, a letter of interest, and three work references, including at least one supervisor or former supervisor.
• Employment is contingent on credential verification and a criminal history investigation.