Research Scientist, Chandra Family Department of Electrical and Computer Engineering

Job Posting Title:

Research Scientist, Chandra Family Department of Electrical and Computer Engineering

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Hiring Department:

Chandra Department of Electrical and Computer Engineering

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Position Open To:

All Applicants

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Weekly Scheduled Hours:

40

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FLSA Status:

Exempt

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Earliest Start Date:

May 09, 2025

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Position Duration:

Expected to Continue Until May 08, 2026

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Location:

UT MAIN CAMPUS

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Job Details:

General Notes 

As a top-10 engineering school with the No. 1 program in Texas, the Cockrell School of Engineering at The University of Texas at Austin has been a global leader in technology innovation and engineering education for over a century. With 11 undergraduate and 13 graduate programs, over 20 research centers and a faculty community that boasts one of the highest number of National Academy of Engineering members among U.S. universities, Texas Engineering has launched some of the nation’s most accomplished leaders and pioneered world-changing solutions in virtually every industry, from space exploration to energy to health care. Situated in the heart of Austin — named “America’s Coolest City” by Expedia and “The Best Place to Live in the U.S.” by U.S. News and World Report — the Cockrell School embodies the city’s innovative spirit. Major companies with Austin campuses, such as Dell, National Instruments, Apple, IBM, Samsung, Google, and many others, continue to recruit Cockrell School students at a remarkable rate, launching thousands of successful careers and developing Texas Engineers into industry leaders.  

 

The Chandra Family Department of Electrical and Computer Engineering is the largest department in the Cockrell School of Engineering with more than 2,500 students and 80 faculty. Our outstanding faculty bring state-of-the-art research, development, and design experience into the classroom, ensuring that our students and alumni are amongst the best in their fields and that our research advances the scientific community as well as society and business. 

 

Purpose 

The purpose of this position is to carry out advanced scientific research in the area of Artificial Intelligence/Machine Learning and its applications to cyber-physical systems, involving new materials development and evaluation. To develop research proposals for acquiring funding from external sources. To train and mentor graduate students.  

Responsibilities 

• Conduct research and analysis on research projects on Artificial Intelligence/Machine Learning and its applications to cyber-physical systems and other related fields.

• Document the research findings: submit project reports on a timely manner and submit research papers to journals and conferences.

• Develop research proposals for external funding opportunities.

• Train and mentor students.

 

Required Qualifications 

• A doctoral degree in Electrical Engineering or a closely related discipline and at least 5 years of experience.

• A strong record of peer-reviewed publications and demonstrated experience working in collaborative, multidisciplinary research teams. 

• A minimum of five years of applicable experience.

• Extensive research experience in artificial intelligence and machine learning, ideally with applications in power systems or smart grids. 

• Excellent written and verbal communication skills. 

 

Relevant education and experience may be substituted as appropriate. 

 

Preferred Qualifications 

• In-depth expertise in trustworthy AI, including but not limited to adversarial training, robustness, and formal verification methods. 

• Demonstrated interest and involvement in multi-institutional or multi-disciplinary research initiatives