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Computer Science Postdoc Jobs in Texas (NOW HIRING)

... postdoctoral fellows to join a unique interdisciplinary training program designed to develop the ... PhD in Statistics, Biostatistics, Bioinformatics, Computer Science, or a related quantitative field.

Mission The Mission of the Harris County Institute of Forensic Sciences is to provide medical ... Basic computer skills including Microsoft Office. NOTE: Qualifying education, experience, knowledge ...

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Computer Science Postdoc information

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$23.3K

$55K

$77.8K

How much do computer science postdoc jobs pay per year?

As of Aug 20, 2026, the average yearly pay for computer science postdoc in Texas is $54,988.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,700.00 and $62,000.00 per year, depending on experience, location, and employer.

What is a computer science postdoc?

A Computer Science Postdoc is a temporary research position for individuals who have recently earned a Ph.D. in computer science or a related field. Postdocs work under the supervision of a principal investigator to conduct advanced research, publish papers, and contribute to projects in academia, industry, or government labs. These positions help researchers gain additional expertise, expand their professional network, and prepare for careers in academia, research institutions, or industry. Typically, postdoc positions last between one and three years and may involve teaching responsibilities.

What does a computer science postdoc do?

As a Computer Science Postdoc, your daily work typically centers around conducting original research, designing experiments, and analyzing data related to your specialized field. You may meet regularly with your principal investigator (PI) and other lab members to discuss progress, troubleshoot problems, and plan new studies. Preparing manuscripts, presenting findings at conferences, and mentoring graduate or undergraduate students are also common responsibilities. Collaboration is often key, as projects may involve working with faculty, industry partners, or interdisciplinary teams, providing opportunities to broaden your research impact and professional network.

What are the key skills and qualifications needed to thrive as a computer science postdoc?

To thrive as a Computer Science Postdoc, you need a Ph.D. in computer science or a related field, strong research skills, and a solid publication record. Experience with programming languages (such as Python, C++, or Java), machine learning frameworks, data analysis tools, and version control systems is highly valued. Exceptional communication, project management, and collaboration abilities help you effectively engage with multidisciplinary teams and present complex findings. These skills ensure successful research contributions, smooth teamwork, and impactful advancement in the academic or industrial research landscape.

What are the most commonly searched types of Computer Science Postdoc jobs in Texas?

The most popular types of Computer Science Postdoc jobs in Texas are:

Infographic showing various Computer Science Postdoc job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, 2% Contract, and 1% Nights. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution, with an average salary of $54,988 per year, or $26.4 per hour.

Postdoctoral Fellow, Department of Computer Science

The University of Texas at Austin

Austin, TX • On-site

$48K - $65K/yr

Full-time

Re-posted 15 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 620 rated colleges and universities


Job description

Job Summary:
The University of Texas at Austin is seeking a Postdoctoral Fellow in the Department of Computer Science to engage in federally sponsored research in predictive intelligent networking. The role involves engineering and productionizing components of PIN agents and collaborating with researchers on multi-agent reinforcement learning and decision-making under uncertainty.
Responsibilities:
• Implement and harden agent/runtime services (Python + C++/Rust), data models, and APIs (gRPC/REST); package for edge compute deployments.
• Build and maintain simulation→emulation→HIL pipelines (e.g., ns‑3/OMNeT++/CORE/EMANE); scenario generators; reproducible experiment harnesses.
• Integrate training loops (PyTorch/JAX), experiment orchestration, metrics/telemetry (Prometheus/Grafana‑class).
• Own CI/CD, testing, and documentation; contribute to technical reports.
Qualifications:
Required:
• A Ph.D. in Computer Science, AI, Networking, or a related discipline, earned within the last three years.
• Solid experience with AI/machine learning methodologies, particularly those applicable to network optimization.
• Proven ability in programming and familiarity with network simulation tools and environments.
• A strong propensity for innovative thinking coupled with a disciplined approach to research and collaboration.
Preferred:
• Publications or significant contributions to the field of AI, machine learning, or networking.
• Experience with interdisciplinary research and collaborative projects.
• Familiarity with military or defense communication systems is a plus.
Company:
The University of Texas at Austin is one of the largest public universities in the United States. Founded in 1883, the company is headquartered in Austin, USA, with a team of 10001+ employees. The company is currently Late Stage.

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