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. 

• A proven track record of effective collaboration across research teams and projects. 

• Experience in mentoring undergraduate and/or graduate students. 

Salary Range 

$140,000 + depending on qualifications 

 

Working Conditions 

• Standard office environment. 

• Flexible or hybrid work arrangements available. 

• Occasional evening, weekend, or overtime work may be required to meet project deadlines. 

• Possible travel within and outside the state for research collaboration and conferences. 

• May work around electrical and mechanical hazards. 

Required Materials 

• Resume/CV 

• 3 work references with their contact information; at least one reference should be from a supervisor 

• Letter of interest 

 

Important for applicants who are NOT current university employees or contingent workers: You will be prompted to submit your resume in the first step of the online job application process. Then, any additional Required Materials will be uploaded in the My Experience section; you can multi-select the additional files or click the Upload button for each file. Before submitting your online job application, ensure that ALL Required Materials have been uploaded.  Once your job application has been submitted, you cannot make changes. 

 

Important for Current university employees and contingent workers: As a current university employee or contingent worker, you MUST apply within Workday by searching for Find Jobs. Before you apply though, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile. This information will be pulled in to your application. The application is one page and you will need to click the Upload button multiple times in order to attach your Resume, References and any additional Required Materials noted above. 

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Employment Eligibility:

Regular staff who have been employed in their current position for the last six continuous months are eligible for openings being recruited for through University-Wide or Open Recruiting, to include both promotional opportunities and lateral transfers. Staff who are promotion/transfer eligible may apply for positions without supervisor approval.

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Retirement Plan Eligibility:

The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length. This position has the option to elect the Optional Retirement Program (ORP) instead of TRS, subject to the position being 40 hours per week and at least 135 days in length.

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Background Checks:

A criminal history background check will be required for finalist(s) under consideration for this position.

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Equal Opportunity Employer:

The University of Texas at Austin, as an equal opportunity/affirmative action employer , complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.

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Pay Transparency:

The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information.

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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 loss of employment at the university.

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E-Verify:

The University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015. The university’s company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following:

• E-Verify Poster (English) [PDF]
• E-Verify Poster (Spanish) [PDF]
• Right To Work Poster (English) [PDF]
• Right To Work Poster (Spanish) [PDF]

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Compliance:

Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in HOP-3031 .

The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may access the most recent report here or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701.