Research Engineer

Job Title Research Engineer I Agency Texas A&M Engineering Department Electrical Engineering Proposed Minimum Salary Commensurate Job Location College Station, Texas Job Type Staff

Why work for Texas A&M Engineering? Engineering has been part of Texas A&M University since its opening in 1876 as the Agricultural and Mechanical College of Texas. Today, the College of Engineering is the largest college on the College Station campus with more than 25,000 engineering students enrolled in 15 departments. Its mission is to serve Texas, the nation and the global community by providing engineering graduates who are well-founded in engineering fundamentals, instilled with the highest standards of professional and ethical behavior, and prepared to meet the complex technical challenges of society.

As the research arm of Engineering, the Texas A&M Engineering Experiment Station (TEES) is a state agency within the Texas A&M University System with a mission to improve lives through basic and applied engineering research, workforce development and technology transition. Our collaborations with industry, academia and government provide cutting-edge solutions to global technical challenges. We are deeply committed to recruiting and retaining a talented workforce that embraces our core values of Respect, Excellence, Leadership, Loyalty, Integrity, and Service, by offering competitive salaries, an array of benefits, an extensive support network, and above all, an enriching and highly collaborative working community that is deeply passionate about our vision for higher education, research, and public service.

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.

• 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.

Bachelors Degree

• 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.

• Python development environments
• Virtual Machines
• Standard office and research equipment

Work Location:

Main Campus – College Station, TX.

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…