Research Engineer I

Texas A&M•College Station, TX

10d•Onsite

About The Position

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. The position applies advanced skills developed during doctoral research in AI-enabled cybersecurity for power systems.

Requirements

Bachelors Degree

Nice To Haves

Bachelor’s degree in Electrical Engineering, Computer Science, or a related field.
Master’s or PhD in Electrical Engineering, Computer Science, or related discipline.
Research experience in machine learning, power systems, or cybersecurity.
Proficiency in Python programming.
Familiarity with machine learning frameworks (e.g., 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.

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.