Research Engineer I

About the role

The Research Assistant will support the development and implementation of machine learning algorithms for cyber-physical attack detection in electric power systems. Responsibilities include designing real-time analytics using Python and TensorFlow, reporting research findings, and contributing to collaborative research efforts.

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.

Requirements

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

Qualifications

• Equipment utilized: Python development environments, Virtual Machines, Standard office and research equipment.

Benefits

• Competitive medical insurance benefits through Blue Cross and Blue Shield of Texas and Prescription coverage by Express Scripts.
• Options for Vision, Dental, Life, and Long-Term Disability insurance.
• A defined benefit retirement plan with the Teacher Retirement System of Texas (TRS) with 8.25% employer contribution.
• Additional Voluntary Retirement Programs: Tax Deferred Account 403(b) and a Deferred Compensation Program 457(b).
• Flexible spending account options for medical and childcare expenses.
• Generous paid time off with holidays, vacation and sick leave.
• Robust free training access through LinkedIn Learning plus professional development opportunities.
• Tuition assistance and Educational release time to further your academic pursuits.
• Access to Engineer Your Wellness programs that provide opportunities for employees to engage in health and fitness.
• Wellness release time offered to employees to promote work/life balance.