IT Network/Security Specialist

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General Notes

Must be eligible to work in the United States on a full-time basis for any employer. Position expected to continue until March 1, 2027.

Deadline for Application: Applications will be reviewed continuously until the position is filled.

Purpose

Project Affiliation: Army Contract for AI-Driven Network Optimization

About the Project: This exciting opportunity at the University of Texas at Austin involves working on a cutting-edge AI networking project under the guidance of Professor Chandrajit Bajaj. The project focuses on developing Predictive Intelligent Networking (PIN) agents, employing advanced AI techniques for rapid response decision-making in predictive intelligent communication networks. Our innovative approach centers on enhancing network efficiency, reducing overhead traffic, automating PACE communications planning, and improving scalability in challenging environments. Our project is dedicated to crafting advanced machine-learning algorithms specifically designed for network optimization and security challenges. Through rigorous real-world simulation scenarios, we aim to deliver robust solutions that excel in environments with incomplete or uncertain data. This role offers the chance to be part of a pioneering effort to create generic solutions for heterogeneous Army networks, working within the confines of existing network protocols.

What We Offer:

• A dynamic and collaborative research environment at the University of Texas at Austin.

• Opportunities to work on pioneering technologies in AI and network security.

• Access to state-of-the-art facilities and resources at the Computer Visualization Lab.

• A chance to contribute to a project with a significant impact in the field of C5ISR communications.

UT Austin offers a competitive benefits package that includes:

• 100% employer-paid basic medical coverage for full-time employees (50% employer-paid medical insurance for dependents)

• Retirement contributions

• Paid vacation, sick time, and holidays

Please visit our Human Resources (HR) website to learn more about the total benefits offered.

Responsibilities

• Collaborate with a dedicated team to enhance network topologies, ensuring data transfer is optimized for efficiency and security within AI-driven communication frameworks.

• Develop and enforce comprehensive security protocols, aiming to safeguard network systems against a variety of threats and vulnerabilities.

• Play a pivotal role in the conceptualization, development, and fine-tuning of AI agents designed to intelligently manage and optimize network operations.

• Provide significant contributions to the simulation platform, engaging in rigorous testing and validation to ensure performance and resilience under real-world operational scenarios.

• Leverage advanced machine learning techniques to address and overcome challenges in network optimization and security, particularly in scenarios characterized by data paucity or ambiguity.

• Proficiency in networking and security protocols.

• Demonstrated experience with AI/machine learning, particularly in networking contexts.

• Strong programming skills and familiarity with network emulation tools like EMANE.

• Ability to work methodically in a research-focused, phased project environment.

• Production experience with at least two computer programming languages

• At least 2 years of experience in software development, including 1 year of system administration.

• At least 3 years of software development on complex systems

Relevant education and experience may be substituted as appropriate.

• Bachelor's or Master's degree in Computer Science, Networking, Cybersecurity, or a related field.

• Prior experience in a research or project-based environment, especially in military or defense-related projects.

• Knowledge of PACE Routing, Load Balancing, and Traffic Prioritization techniques.

$108,000 + depending on qualifications

• Standard office conditions

• Resume/CV

• 3 work references with their contact information; at least one reference should be from a supervisor

• Letter of interest

Importantfor 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 thatALLRequired 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 questionspresented to upload any additional Required Materials (letter of interest, references, etc. ) that were noted above.

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Employment Eligibility:

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Retirement Plan Eligibility:

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Background Checks:

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