Research Assistant - job 1 of 6

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Why work for Texas A&M Engineering?

Who we are

Texas A&M Engineering is a large employer in the great and growing cities of Bryan/College Station, offering thousands of career opportunities in a wide variety of fields. We are deeply committed to recruiting and retaining a talented workforce that embraces our core values of respect, excellence, leadership, loyalty, integrity, and service. Texas A&M Engineering offers competitive salaries, full 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 Assistant 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.
• Equipment Utilized:
  -Python development environments
  -Virtual Machines
  -Standard office and research equipment

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.

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 health benefits.
• Generous paid vacation, sick time, and holidays.
• Vision, Dental, Life, and Long-Term Disability insurance options.
• Teachers Retirement System of Texas (TRS), a defined benefit retirement plan 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
• Robust free training access through LinkedIn Learning plus professional development opportunities.
• Tuition assistance: https://engineering.tamu.edu/information/esac/educational-assistance-programs.html
• Wellness program release time offered to employees to promote work/life balance.

Helpful Applicant Information

Required Materials for Application:

• Resume/CV
• Three work references with their contact information; at least one reference should be from a supervisor/former supervisor.
• Letter of interest

Compensation Philosophy:

• Recruit and retain a high-performing workforce through competitive compensation and career development including career pathing, coaching and skills development.
• Recognize and reward exceptional performance based on individual and team contributions to the growth and success of Texas A&M Engineering.
• Offer total rewards through flexible benefits, professional development, and work-life balance. Maintain an equitable and transparent process for compensation decisions.
• Support, reinforce, and align compensation decisions with budgetary and financial strategies to ensure growth and sustainability.

Employment Eligibility Verification

• If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form.  You will be required to present acceptable and original documents to prove your identity and authorization to work in the United States.  Documents need to be presented no later than the third day of employment.  Failure to do so will result in delay of start date.

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.