Job Description

Postdoctoral Researcher

Agency

Texas A&M Engineering

Department

Engineering Technology

Commensurate

College Station, Texas

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.

Purpose:

The Postdoctoral Researcher will work on research projects in the area of wireless communication system design with machine learning applications. The ideal candidate will have a strong background in wireless communication, signal processing, and machine learning. They should also possess the skills necessary to develop complex models, algorithms, and simulations to improve the performance of wireless communication systems. We offer the opportunity to work with a team of world-class researchers and engineers, competitive salary and benefits, access to state-of-the-art research facilities and resources, and the opportunity to make significant contributions to the field of wireless communication systems and machine learning.

Responsibilities:

• Research and Development: Carry out extensive research and development in wireless communication systems and machine learning. This includes formulating research problems and developing innovative solutions.
• Modeling and Simulation: Develop sophisticated models and simulations of wireless communication systems. Validate these models using real-world or synthetic data.
• Machine Learning Implementation: Apply machine learning algorithms and techniques to improve the efficiency, reliability, and performance of wireless communication systems.
• Data Analysis: Conduct comprehensive data analysis to understand the performance of wireless communication systems and their bottlenecks. Apply statistical and machine learning techniques to this data to gain insights.
• Project Collaboration: Work closely with other researchers and engineers on interdisciplinary projects.
• Documentation and Presentation: Prepare research reports, and present findings at conferences, workshops, or other academic or industry events.
• Grant Applications: Participate in the preparation and submission of grant applications to fund ongoing and new research.
• Mentoring: Contribute to the supervision of undergraduate and graduate students engaged in research work.
• Performs other duties as assigned.

What We Need:

• Doctoral degree
• No experience required

What Is Helpful:

• Ph.D. in Electrical Engineering, Computer Science, or a related field with a focus on wireless communication and machine learning.
• Proven experience with modeling and simulation of wireless communication systems.
• Strong background in machine learning and artificial intelligence with proficiency in using ML frameworks like TensorFlow or PyTorch.
• Strong publication record in top-tier, peer-reviewed journals and conferences.
• Experience with deep learning applications in the context of wireless communication systems.
• Experience in writing successful grant applications.

Knowledge, Skills, and Abilities:

• Knowledge of wireless communication protocols and standards.
• Proficiency in programming languages, such as Python, C++, or MATLAB.
• Ability to design and execute complex research projects, and to interpret and communicate the results in a clear and effective manner.
• Excellent written and oral communication skills.
• Ability to work effectively both independently and as part of a team.
• Familiarity with software-defined radio platforms and toolkits.

Work Location:

• Main Campus – College Station, TX

About Engineering Technology & Industrial Distribution

(ETID)

The Department of Engineering Technology and Industrial Distribution at Texas A&M University ranks among the top Engineering Technology and Industrial Distribution programs in the country, and is a part of the Top 10 ranked Texas A&M University College of Engineering. "Engineering Technology" is the profession in which knowledge of the applied mathematical and natural sciences gained by higher education, practical experience, and competence developed in a specific field is devoted to application of engineering principles and the implementation of technological advances for the benefit of humanity. "Industrial Distribution" applies mathematics, science, engineering technology, business, data processing, communications, quality, and Supply Chain Management to the wholesaling and distribution of technological products.

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 LinkedIn Learning plus professional development opportunities.
• Tuition assistance and Educational release time to further your academic pursuits.
• Access to Engineer Your Wellness programs that provide opportunities for employees to engage in health and fitness.
• Wellness 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 (dependent upon position)

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:

• 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 original and unexpired 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.