Postdoctoral Researcher on Wireless Communications

Job Title

Postdoctoral Researcher on Wireless Communications

Agency

Texas A&M Engineering

Department

Engineering Technology

Proposed Minimum Salary

Commensurate

Job Location

College Station, Texas

Job Type

Staff

Job 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.

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 c