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Computer Science Research Assistant Jobs in Austin, TX

Research Asst III

Burnet, TX · On-site

$50K - $62K/yr

Understand the scientific principles involved in the research. Apply those principles to ... Willing and able to assist in daily operations of the laboratory including answering phone ...

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Computer Science Research Assistant information

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How much do computer science research assistant jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for computer science research assistant in Austin, TX is $21.71, according to ZipRecruiter salary data. Most workers in this role earn between $18.37 and $25.24 per hour, depending on experience, location, and employer.

Is it better to shut down or sleep?

For a Computer Science Research Assistant, shutting down a computer completely saves power and reduces wear on components, while sleep mode allows for quicker resume times and maintains open files. The choice depends on usage patterns; frequent short breaks may favor sleep, whereas longer periods of inactivity are better for shutdown. Both options are safe and commonly used in research environments to manage system performance and energy consumption.

What is a good inexpensive computer to buy?

For a Computer Science Research Assistant, a budget-friendly computer such as a Chromebook or entry-level Windows laptop with at least 8GB RAM and an SSD can handle basic coding, data analysis, and research tasks. Prioritizing a device with a reliable processor and sufficient storage ensures smooth performance for research activities and programming environments.

What is a Computer Science Research Assistant job?

A Computer Science Research Assistant supports professors or researchers in conducting experiments, analyzing data, and developing software or algorithms. They may assist with literature reviews, coding, debugging, or testing to advance research projects. The role often involves working with programming languages, machine learning, cybersecurity, or other specialized topics. It provides valuable experience for students or professionals looking to deepen their knowledge in the field.

What are the key skills and qualifications needed to thrive in the Computer Science Research Assistant position, and why are they important?

To thrive as a Computer Science Research Assistant, you need strong analytical skills, proficiency in programming languages (such as Python, Java, or C++), and a solid understanding of algorithms and data structures, usually evidenced by coursework or a relevant degree. Familiarity with research tools, version control systems (like Git), and possibly certifications in data analysis or machine learning are advantageous. Excellent problem-solving abilities, attention to detail, and effective written and verbal communication help individuals excel when collaborating on research projects. These competencies enable you to support rigorous research, contribute to innovative solutions, and work efficiently as part of an academic or industry research team.

What are typical duties and daily responsibilities of a Computer Science Research Assistant?

As a Computer Science Research Assistant, your daily responsibilities often include assisting with data collection and analysis, developing or testing software prototypes, conducting literature reviews, and helping prepare reports or presentations for research findings. You may also collaborate closely with faculty, graduate students, or industry partners, contributing to coding tasks, experimental setups, and troubleshooting technical issues as they arise. The role frequently involves both independent problem-solving and teamwork, providing a supportive environment to deepen technical skills and gain hands-on research experience. This position is an excellent opportunity to develop your research portfolio, learn advanced computing concepts, and prepare for potential graduate study or specialized tech careers.

What is the best home computer to buy?

As a Computer Science Research Assistant, selecting a reliable home computer depends on your workload; a high-performance PC or Mac with a multi-core processor, at least 16GB of RAM, and SSD storage is recommended for coding, data analysis, and research tasks. Consider your specific needs for software compatibility and upgradeability when choosing a model.

What is the definition of a computer?

A computer is an electronic device that processes, stores, and retrieves data according to programmed instructions. Computer Science Research Assistants often work with hardware and software components, understanding how computers perform calculations and manage information. Knowledge of computer architecture and programming languages is essential for analyzing and developing computing systems.
What are popular job titles related to Computer Science Research Assistant jobs in Austin, TX? For Computer Science Research Assistant jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Computer Science Research Assistant jobs in Austin, TX look for? The top searched job categories for Computer Science Research Assistant jobs in Austin, TX are:
What cities near Austin, TX are hiring for Computer Science Research Assistant jobs? Cities near Austin, TX with the most Computer Science Research Assistant job openings:

Research Scientist, Texas GenAI Center

The University of Texas at Austin

Austin, TX • On-site

Full-time

Medical, Vision

Posted 18 days ago


University Of Texas at Austin rating

8.1

Company rating: 8.1 out of 10

Based on 62 frontline employees who took The Breakroom Quiz

130th of 537 rated colleges and universities


Job description

Job Posting Title:
Research Scientist, Texas GenAI Center
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Hiring Department:
Department of Computer Science
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Position Open To:
All Applicants
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Weekly Scheduled Hours:
40
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FLSA Status:
To Be Determined at Offer
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Earliest Start Date:
Ongoing
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Position Duration:
Expected to Continue
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Location:
AUSTIN, TX
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Job Details:
General Notes
Funding for the position is budgeted for three years; however, the position may continue beyond the initial budgeted timeframe contingent upon the realization of research funding from external grants or industry partners.
Purpose
Under the direction of the Director of the Center for Generative AI, the individual will, with independence commensurate with experience, perform research within the Center for Generative Artificial Intelligence and its parent organization, the Machine Learning Laboratory. Successful candidates will be appointed within either the Department of Computer Science or the Department of Electrical and Computer Engineering depending upon the applicant's research thrust. In addition to competitive salary and benefits, this position includes funding for independent travel to workshops, conferences and other universities and research labs.
This multi-year program will host several researchers working on one or more of the following topics:
  • Natural Language Processing
  • Computer Vision
  • Machine Learning for Biology
  • Machine Learning for Health/Medicine

Responsibilities
  • Read and write manuscripts for publication in peer-reviewed conferences and journals.
  • Advance collaborative projects with industry via the Machine. Learning Laboratory's industry affiliates partner program. Candidate should expect to spend one day per week on industry-facing projects.
  • Present research findings in public forums.
  • Collaborate with researchers and students at UT Austin.
  • Organize seminars, workshops, and other research activities.

Required Qualifications
Master's degree in Computer Science, Computer Engineering or a very closely related field with major coursework in these areas. Five (5) years collaborative experience post-degree. Documented experience in project management in a research setting. Excellent communication and collaborative skills, both oral and written. Professional demeanor.
Relevant education and experience may be substituted as appropriate.
Preferred Qualifications
PhD in a field related to computer science or computer engineering. Ten (10) years collaborative experience post-degree. Practical understanding of data privacy practices and laws to ensure privacy, confidentiality, security, and of IRB/Institutional approval processes.
Salary Range
$90,000 to $120,00+ (depending on education and experience)
Working Conditions
  • May work around standard office conditions.
  • Repetitive use of a keyboard at a workstation.

Required Materials
  • Curriculum vitae
  • 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 the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. 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 UT Jobs. If you are a current University employee, 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 before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questions presented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above.
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.
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.
Background Checks:
A criminal history background check will be required for finalist(s) under consideration for this position.
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.
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.
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.

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