Postdoctoral Fellow, Department of Computer Science

Project Affiliation: Federally sponsored research in predictive intelligent networking

Position expected to continue until March 1, 2027.

Must be eligible to work in the United States on a full time basis for any employer.

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.

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  Implement and harden agent/runtime services (Python + C++/Rust), data models, and APIs (gRPC/REST); package for edge compute deployments.

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  Build and maintain simulation→emulation→HIL pipelines (e.g., ns‑3/OMNeT++/CORE/EMANE); scenario generators; reproducible experiment harnesses.

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  Integrate training loops (PyTorch/JAX), experiment orchestration, metrics/telemetry (Prometheus/Grafana‑class).

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  Own CI/CD, testing, and documentation; contribute to technical reports.

• 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.

• 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.

$70,000+ depending on qualifications

• Standard office environment

• Resume/CV

• Letter of Interest with research statement

• 3 reference letters

• Ph.D. verification

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A criminal history background check will be required for finalist(s) under consideration for this position.

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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.

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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.

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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.

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 and Spanish) [PDF]
• Right to Work Poster (English) [PDF]
• Right to Work Poster (Spanish) [PDF]

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.