Research Engineer
Listed on 2026-08-30
-
Engineering
Electrical Engineering, AI Business & Operations
Research Engineer I
Agency:
Texas A&M Engineering
Department:
Electrical Engineering
Proposed Minimum Salary:
Commensurate
Job Location:
College Station, Texas
Job Type: Staff
Job Description
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 Tensor Flow, 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.
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 Tensor Flow.
- 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.
What We Need:
- Bachelors Degree
What is Helpful:
- 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., Tensor Flow).
- Understanding of electric power systems and cybersecurity concepts.
- Strong analytical and problem-solving skills.
- Ability to work collaboratively in a multidisciplinary research environment.
Equipment utilized:
- Python development environments
- Virtual Machines
- Standard office and research equipment
Work Location:
- Main Campus – College Station, TX.
About Electrical and Computer Engineering
The Department of Electrical and Computer Engineering at Texas A&M University leads advanced research in several important national and global areas for the betterment of humanity. Areas of research include power and power electronics, information systems, computer architecture, analog and mixed signals circuits, biomedical imaging, and photonics and semiconductors, with ML/AI infused in several of these research areas. Situated conveniently in the hub of the Dallas–Austin–Houston technology triangle, the department collaborates closely with key players in healthcare, computing, telecommunications, energy, and semiconductor manufacturing sectors.
It also benefits from its proximity to and engagement with the Army Futures Command and the facilities and test-beds available at the Texas A&M System's RELLIS Campus. With strong support from Texas' robust manufacturing sector and its economy, the department has numerous opportunities to engage in exciting interdisciplinary research partnerships that are shaping the future educational and research landscapes. These partnerships include collaborations and engagement with the Texas A&M Data Science Institute, the Global Cyber Research Institute, the Texas A&M Energy Institute, and the Smart Grid Center.
Texas A&M Engineering provides an outstanding benefits package including but not limited to:
- 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 Linked In Learning plus professional development opportunities.
- Tuition assistance and Educational release time to further your academic pursuits.
- Access to Engineer Your Wellness programs that provide…
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