Research Associate

Job Title

Research Associate

Agency

Texas A&M Engineering

Department

Electrical Engineering

Proposed Minimum Salary

Commensurate

Job Location

College Station, Texas

Job Type

Staff

Job Description

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:

We are seeking a highly skilled and motivated Research Associate to join our dynamic team in the field of artificial intelligence (AI), machine learning (ML), and computer vision (CV). The successful candidate will work closely with our research team to develop innovative solutions, contribute to cutting-edge research projects, and advance the state-of-the-art in AI, ML, and CV technologies. This position offers a unique opportunity for professional growth and collaboration in a stimulating research environment.

Responsibilities:

• Work with research group in the fields of artificial intelligence (AI), machine learning (ML), and computer vision (CV).
• Work closely with research team to develop innovative solutions.
• Contribute to cutting-edge research projects.
• Advance the state-of-the-art in AI, ML, and CV technologies.
• Utilize high-performance computing resources (e.g, GPUs).
• Performs other duties as assigned.

What we need:

• Bachelor’s degree in relevant field or equivalent combination of education and experience
• Two years of related experience

What is helpful:

• Master's degree or equivalent in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related field with a focus on artificial intelligence, machine learning, computer vision, or a closely related area.
• Experience in Python, Pytorch, artificial intelligence, machine learning, computer vision
• Experience in frameworks like TensorFlow, PyTorch, or OpenCV.
• Experience with image processing, feature extraction, object detection, segmentation, and recognition algorithms.

Knowledge, Skills, & Abilities:

• Strong background in statistical analysis, linear algebra, optimization, and probability theory.
• Proficiency in programming languages such as Python, MATLAB, or C/C++.
• Demonstrated expertise in machine learning techniques, including deep learning.
• Familiarity with software development practices, version control systems (e.g., Git), and collaborative tools (e.g., Jupyter Notebooks, Docker).

Work Location:

• Main Campus – College Station, TX.

About The Department of 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% 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/staff-development/staff-development-opportunities.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 high-performing workforce through competitive compensation and career development including career pathing, coaching and skills development.
• Offer total rewards, flexible benefits, professional development, performance recognition and work-life balance.
• Ensure resources are readily available and utilized to attract and retain the highest quality researchers, faculty, and staff.

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/Affirmative Action/Veterans/Disability Employer.