Junior ML Research Engineer - Power Systems Security

Texas A&M University System; College Station (AR); On-site; USD 70,000 - 90,000; Full time

Benefits offered by this job

Health insurance

Vision, Dental, Life, and Long-Term DI

Tuition assistance

LinkedIn Learning

Paid time off

Educational release time

Wellness programs

Job summary

Texas A&M Engineering seeks a Research Engineer I to advance machine learning for cyber-physical threat detection in electric power systems. You will design real-time analytics using Python and TensorFlow and collaborate on AI-driven cybersecurity research within a multidisciplinary team.

The role emphasizes applying doctoral-level AI and cybersecurity expertise to power systems, contributing to high-impact projects on a major university campus in College Station, Texas.

Qualifications

• Bachelor's degree required.
• Master’s or PhD in Electrical Engineering, Computer Science, or related discipline.
• Experience in machine learning, power systems, or cybersecurity.
• Proficiency in Python programming.
• Familiarity with TensorFlow.
• Understanding of electric power systems and cybersecurity concepts.
• Strong analytical and problem-solving skills.
• Ability to work collaboratively in a multidisciplinary research environment.

Responsibilities

• Support the development and implementation of machine learning algorithms for cyber-physical attack detection in electric power systems.
• Design and implement real-time analytics using Python and TensorFlow.
• Conduct research related to AI-enabled cybersecurity for electric power systems.
• Analyze research data and report findings through technical documentation and presentations.
• Contribute to collaborative research projects and support research team initiatives.
• Apply advanced knowledge and skills developed through doctoral research in artificial intelligence and power systems cybersecurity.

Skills

Python programming

Analytical skills

Team collaboration

Machine learning

Cybersecurity concepts

Education

Bachelor's Degree

Master’s or PhD in Electrical Engineering, Computer Science, or related discipline

Tools

TensorFlow

Job description

Texas A&M Engineering seeks a Research Engineer I to advance machine learning for cyber-physical threat detection in electric power systems. You will design real-time analytics using Python and TensorFlow and collaborate on AI-driven cybersecurity research within a multidisciplinary team.

The role emphasizes applying doctoral-level AI and cybersecurity expertise to power systems, contributing to high-impact projects on a major university campus in College Station, Texas.