Postdoctoral Fellow, Department of Computer Science

** 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 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.
** Purpose
* * Engineer and product ionize 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 C5

ISR 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.

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- ** Employment Eligibility:
** Please make sure you meet all the…