Job Title
Research Engineer IAgency
Texas A&M EngineeringDepartment
Electrical EngineeringProposed Minimum Salary
CommensurateJob Location
College Station, TexasJob Type
StaffJob Description
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.
Job Description
Purpose:
The Research Engineer I will support the development and implementation of machine learning algorithms for cyber-physical attack detection in electric power systems.
Responsibilities:
Designing real-time analytics using Python and TensorFlow.
Reporting research findings.
Contributing to collaborative research efforts.
Apply advanced skills in AI-enabled cybersecurity for power systems.
Performs other duties as assigned.
What we Need:
Bachelor’s degree in applicable field or equivalent combination of education and experience.
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 or technical experience.
Research experience in machine learning, power systems, or cybersecurity.
Knowledge, Skills, and Abilities:
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.
Other:
Equipment Utilized:
Python development environments
Virtual Machines
Standard office and research equipment
Work Location:
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:
Helpful Applicant Information
Required Materials for Application:
Applications received by Texas A&M Engineering must have all required job application data entered.
Failure to provide all job application data could result in an invalid submission and a rejected application.
Compensation Philosophy:
Employment Eligibility Verification
All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution’s verification of credentials and/or other information required by the institution’s procedures, including the completion of the criminal history check.
Equal Opportunity/Veterans/Disability Employer.