Electrical & Computer Engineering Researcher

University of Texas; Austin (TX); On-site; USD 120,000 - 165,000; Full time

Job summary

Applied Research Laboratories at The University of Texas at Austin seeks a Research Associate to advance electrical and computer engineering research across GNSS, estimation theory, and environmental modeling. You will implement algorithms in C++ and Python, work with a team, and contribute to publications and project reviews.

The role requires a PhD and post-graduate experience with statistical/computational methods, plus strong communication skills and the ability to work independently on

Qualifications

• PhD in Electrical/Computer/Computational Science or related field.
• Experience developing software in C++ or Python for scientific applications.
• Post-graduate experience developing statistical and computational algorithms.
• Proven record of peer-reviewed publications and presenting to technical audiences.

Responsibilities

• Perform high-level independent electrical and/or computer engineering research.
• Present and publish research internally and externally.
• Develop first principles formulations, algorithms, and software for GNSS and environmental modeling.
• Implement algorithms in C++ and Python in a team setting.
• Document implementations and develop test cases; provide guidance to peers.

Skills

C++

Python

Linux

Communication

Teamwork

Problem-solving

Education

PhD in Electrical Engineering or related field

Tools

Git / GitHub

LaTeX

Linux

GNSS hardware

FPGA / RTL (preferred)

Job description

Applied Research Laboratories at The University of Texas at Austin seeks a Research Associate to advance electrical and computer engineering research across GNSS, estimation theory, and environmental modeling. You will implement algorithms in C++ and Python, work with a team, and contribute to publications and project reviews.

The role requires a PhD and post-graduate experience with statistical/computational methods, plus strong communication skills and the ability to work independently on