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Computer Science Phd Research Intern Jobs in Austin, TX

AI Research Scientist

Austin, TX · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

Master's or PhD in Machine Learning, Computer Science, AI, or a related field * Experience with distributed training, edge inference, or on-device ML * Research experience in generative AI ...

The Research department at Dimensional is integral both in the successful day-to-day functioning of ... computer science, or similar disciplines. * 3-5 years of relevant industry experience and excellent ...

The Research department at Dimensional is integral both in the successful day-to-day functioning of ... computer science, or similar disciplines. * 3-5 years of relevant industry experience and excellent ...

A degree in Computer Science or a related field is a plus. * Fresh graduates and candidates with 0 ... Identify and research potential clients in target markets * Craft compelling bids, tailored to ...

Postdoctoral Fellow

Austin, TX · On-site

$56K/yr

  • Retirement

  • PTO

... sciences. PhD must have been earned within three years of start date. * Demonstrated ability to adapt to diverse interdisciplinary research projects * Superior time management, critical thinking ...

Digital Modem Engineer

Austin, TX · On-site

$150K - $250K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

MS/PhD in Electrical/Computer Engineering, Computer Science, or equivalent experience * Reliable ... both intern and full-time opportunities. Benefits * Discretionary bonus eligibility * Medical ...

Showing results 21-40

Computer Science Phd Research Intern information

See Austin, TX salary details

$2.1K

$6.4K

$7.7K

How much do computer science phd research intern jobs pay per month?

As of Aug 18, 2026, the average monthly pay for computer science phd research intern in Austin, TX is $6,382.92, according to ZipRecruiter salary data. Most workers in this role earn between $4,375.00 and $7,600.00 per month, depending on experience, location, and employer.

What does a computer science PhD research intern do?

A Computer Science PhD Research Intern typically contributes to cutting-edge research projects under the guidance of experienced mentors, often in an academic or industry setting. Responsibilities may include designing experiments, developing algorithms, conducting data analysis, and publishing findings in conferences or journals. The role is designed to provide practical research experience, sharpen technical skills, and foster collaboration with other researchers. Interns often have the opportunity to work on real-world problems and gain insights into the research and development process within the field of computer science.

What types of projects and collaborations can a computer science PhD research intern typically expect during their internship?

As a Computer Science PhD Research Intern, you will often work on advanced research projects that align with your academic interests and the organization's strategic goals. Interns typically collaborate closely with senior researchers, engineers, and sometimes cross-functional teams such as product or data science groups. Projects may involve designing experiments, developing prototypes, or publishing findings in academic venues. The environment is usually supportive of exploration and peer feedback, and you’ll have opportunities to present your work, gain mentorship, and contribute to impactful, real-world applications.

What are the key skills and qualifications needed to thrive as a computer science PhD research intern, and why are they important?

To thrive as a Computer Science PhD Research Intern, you need advanced knowledge in computer science fundamentals, research methodology, and typically be enrolled in a relevant PhD program. Experience with programming languages (such as Python, C++, or Java), data analysis tools, and version control systems like Git is often required. Strong analytical thinking, problem-solving abilities, and effective communication skills help interns collaborate and present complex ideas clearly. These skills are essential for contributing to innovative research projects, publishing findings, and succeeding in a competitive academic or industry research environment.

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What cities near Austin, TX are hiring for Computer Science Phd Research Intern jobs?

Cities near Austin, TX with the most Computer Science Phd Research Intern job openings:

Infographic showing various Computer Science Phd Research Intern job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 3% Contract, and 1% Nights. Highlights an 78% Physical, 2% Hybrid, and 20% Remote job distribution, with an average salary of $76,595 per year, or $36.8 per hour.

Research Scientist, Texas GenAI Center

The University of Texas at Austin

Austin, TX • On-site

Full-time

Medical, Vision

Re-posted 23 days ago


University Of Texas at Austin rating

8.3

Company rating: 8.3 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

126th of 618 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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