Postdoctoral Fellow, Department of Computer Science

University of Texas; Austin (TX); On-site; USD 63,000 - 77,000; Full time

Benefits offered by this job

Competitive salary

Comprehensive benefits

Access to leading-edge technology

Job summary

A prestigious university in Austin is seeking a Postdoctoral Fellow for the Department of Computer Science. This role involves engineering and productionizing components for predictive intelligent networking research, utilizing AI/machine learning methodologies. Candidates must have a recent Ph.D. and solid programming skills. Competitive salary and benefits are offered.

Qualifications

• Ph.D. earned within the last three years.
• Solid experience with AI/machine learning methodologies.
• Proven ability in programming and familiarity with network simulation tools.

Responsibilities

• Implement and harden agent/runtime services.
• Build and maintain simulation/emulation pipelines.
• Integrate training loops and experiment orchestration.

Skills

AI/machine learning methodologies

Programming (Python, C++/Rust)

Network simulation tools

Innovative thinking

Education

Ph.D. in Computer Science, AI, Networking

Tools

PyTorch

ns-3

JAX

Job description

**Job Posting Title:**Postdoctoral Fellow, Department of Computer Science**----****Hiring Department:**Department of Computer Science**----****Position Open To:**All Applicants**----****Weekly Scheduled Hours:**40**----****FLSA Status:**Exempt**----****Earliest Start Date:**Immediately**----****Position Duration:**Expected to Continue Until Dec 31, 2027**----****Location:**AUSTIN, TX**----****Job Details:****General Notes**Project Affiliation: Federally sponsored research in predictive intelligent networkingPosition expected to continue until March 1, 2027.Must be eligible to work in the United States on a full time basis for any employer.**Purpose**Engineer and productionize components of **PIN agents** and the supporting training/experiment stack: scalable simulation/emulation harnesses, on‑node runtimes, telemetry, and CI/CD. You’ll collaborate with researchers implementing **multi‑agent RL**, **robust decision‑making under uncertainty**, and **contingency‑aware multi‑path planning** for mobile networks.**What We Offer:*** A competitive post-doctoral salary and comprehensive benefits.* Access to leading-edge technology and research facilities.* A collaborative environment that fosters growth and innovation.* Involvement in a project with tangible impact on the future of C5ISR systems.**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.## Required Qualifications* 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 Qualifications* 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.## Salary Range$70,000+ depending on qualifications## Working Conditions* Standard office environment## Required Materials* Resume/CV* Letter of Interest with research statement* 3 reference letters* Ph.D. verification**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:**Please make sure you meet all the required qualifications and you can perform all of the essential functions with or without a reasonable accommodation.----**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 , 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 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.**----****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:* [PDF]* [PDF]* [PDF]**----****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 .The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701.**Start Here, Change the World**At The University of Texas at Austin, tradition meets innovation in the heart of a city that frequents lists of the best places to live and work. Named by Forbes as one of America's Best Large Employers for the sixth year in a row in 2025, UT offers both a dynamic work environment and a gateway to vibrant local culture. Whether you're at the forefront of the student experience,