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Phd Computer Science Jobs in Austin, TX (NOW HIRING)

Senior Software Engineer

Austin, TX

$121K - $160K/yr

Education & Experience * BS/MS/PhD in Computer Science, Math, Science, Engineering, Economics, or other highly quantitative disciplines, or equivalent experience. * Solid grasp of computer science ...

Senior Deep Learning Engineer

Austin, TX · On-site +1

$130K - $180K/yr

Master's or PhD in Computer Science, Engineering, or related field * Experience in embedded or low-level programming * Knowledge of CUDA/OpenGL * Experience deploying neural networks in production

OR PhD in Electrical Engineering, Computer Science, Computer Engineering, or related field and 2+ years of Software Engineering, Electrical Engineering, Systems Engineering, or related work ...

Minimum Qualifications MS +3 years of experience or PhD in an analytical field such as (but not limited to) Quantitive Social Sciences (Sociology, Education, Economics, Political Science), Computer ...

Minimum Qualifications MS +3 years of experience or PhD in an analytical field such as (but not limited to) Quantitive Social Sciences (Sociology, Education, Economics, Political Science), Computer ...

... Machine Learning, Computer Science, Engineering, or a related technical field 3+ years of ... PhD in related field Hands-on experience leveraging Generative AI to improve productivity and ...

... PhD in Statistics, Economics, Mathematics, Computer Science, Engineering, Data Science, or a related quantitative discipline and experience in one or more of the following areas: Deep familiarity ...

... PhD in Statistics, Economics, Mathematics, Computer Science, Engineering, Data Science, or a related quantitative discipline and experience in one or more of the following areas: Deep familiarity ...

... PhD in Statistics, Economics, Mathematics, Computer Science, Engineering, Data Science, or a related quantitative discipline and experience in one or more of the following areas: Deep familiarity ...

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Phd Computer Science information

See Austin, TX salary details

$56K

$82.4K

$97.1K

How much do phd computer science jobs pay per year?

As of Jul 20, 2026, the average yearly pay for phd computer science in Austin, TX is $82,378.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,800.00 and $92,700.00 per year, depending on experience, location, and employer.

Is a PhD worth it for CS?

A PhD in Computer Science can lead to careers in academia, research, or specialized industry roles requiring advanced expertise. It typically involves several years of study and research, and is valuable for positions that demand deep technical knowledge or innovation, but may not be necessary for most industry jobs that prioritize skills and experience. The decision depends on career goals and the value placed on research and academic credentials.

What are some common challenges faced by PhD Computer Science students during their research?

PhD Computer Science students often encounter challenges such as defining a clear and impactful research problem, managing long-term projects with limited guidance, and coping with the pressure to publish in top-tier conferences or journals. Balancing coursework, teaching responsibilities, and research can also be demanding. Effective time management, networking with peers and mentors, and seeking regular feedback can help students navigate these challenges and achieve their academic goals.

What is the salary of a computer PhD?

A computer science PhD typically earns between $80,000 and $150,000 annually, depending on the industry, location, and experience level. Academic roles may have lower salaries, while industry positions in tech companies tend to offer higher compensation, often including bonuses and stock options.

What is a PhD in Computer Science?

A PhD in Computer Science is the highest academic degree in the field, focused on advanced research and the creation of new knowledge in computing. It typically involves several years of coursework followed by original research culminating in a dissertation. Graduates often pursue careers in academia, research, or advanced industry roles that require deep technical expertise and problem-solving skills.

What are the key skills and qualifications needed to thrive as a PhD in Computer Science, and why are they important?

To thrive as a PhD in Computer Science, you need advanced expertise in algorithms, programming, and research methodologies, typically supported by a doctoral degree in computer science or a related field. Mastery of programming languages (such as Python, Java, or C++), data analysis tools, and familiarity with version control systems like Git are commonly required, along with experience in publishing academic research. Critical thinking, problem-solving, strong written and verbal communication, and perseverance are vital soft skills for success in research and collaboration. These skills and qualifications are essential for making significant contributions to the field, driving innovation, and effectively sharing knowledge with the academic and professional community.

Which CS has the highest salary?

In computer science, roles such as machine learning engineers, data scientists, and AI specialists tend to have the highest salaries due to high demand for expertise in artificial intelligence and data analysis. Senior positions with advanced skills in programming, algorithms, and cloud computing typically command top compensation, especially in tech hubs and large organizations.

What jobs can I get with a PhD in computer science?

A PhD in computer science qualifies individuals for advanced roles such as research scientist, data scientist, machine learning engineer, or university professor. These positions often require strong analytical skills, programming expertise, and knowledge of algorithms, data structures, and AI tools. Graduates may work in academia, industry research labs, or technology companies focusing on innovation and development.
What job categories do people searching Phd Computer Science jobs in Austin, TX look for? The top searched job categories for Phd Computer Science jobs in Austin, TX are:
What cities near Austin, TX are hiring for Phd Computer Science jobs? Cities near Austin, TX with the most Phd Computer Science job openings:
Research Scientist, Texas GenAI Center

Research Scientist, Texas GenAI Center

The University of Texas at Austin

Austin, TX • On-site

Full-time

Medical, Vision

Re-posted 24 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

137th of 555 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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