AI Research Engineer, Power Systems Cybersecurity

Texas A&M Engineering; College Station (TX); On-site; USD 65,000 - 90,000; Full time

Job summary

Texas A&M Engineering seeks a Research Assistant to support ML-driven cyber-physical attack detection in electric power systems. You will help design real-time analytics with Python and TensorFlow, report findings, and contribute to collaborative research efforts.

The role leverages advanced AI research in cybersecurity for power systems and requires a Bachelor's degree with strong analytical skills. On-campus work at College Station, TX is expected.

Qualifications

• Bachelors degree required in EE, CS, or related field.
• Master’s or PhD in EE/CS or related discipline preferred.
• Research experience in ML, power systems, or cybersecurity desirable.
• Proficiency in Python and ML frameworks expected.

Responsibilities

• Support development and implementation of ML algorithms for cyber-physical attack detection in electric power systems.
• Design real-time analytics using Python and TensorFlow.
• Report research findings through technical documentation and presentations.
• Contribute to collaborative research projects and team initiatives.
• Apply knowledge from doctoral research in AI and power systems cybersecurity.
• Analyze data and communicate results to researchers and stakeholders.

Skills

Bachelor's degree

Strong analytical

Education

Bachelor's Degree in Electrical Engineering, Computer Science, or related field

Master’s or PhD preferred

Tools

Python programming

TensorFlow

Job description

Texas A&M Engineering seeks a Research Assistant to support ML-driven cyber-physical attack detection in electric power systems. You will help design real-time analytics with Python and TensorFlow, report findings, and contribute to collaborative research efforts.

The role leverages advanced AI research in cybersecurity for power systems and requires a Bachelor's degree with strong analytical skills. On-campus work at College Station, TX is expected.