Research Associate for Artificial Intelligence and Machine Learning

$90,000 - $90,000/Yr

The University of Texas System - Austin, TX

Part-time - Entry Level

Austin, TX

Educational Services

About the position

The Texas Advanced Computing Center (TACC) at The University of Texas at Austin is a premier supercomputing center that plays a pivotal role in advancing computational research across various scientific and engineering domains. The center supports thousands of researchers and students by providing access to cutting-edge computing, visualization, and storage technologies. TACC staff are dedicated to helping researchers and educators effectively utilize these advanced technologies, while also engaging in research and development to enhance their capabilities, reliability, and usability. The center fosters a culture of innovation and collaboration, encouraging staff to explore the latest technologies, participate in charitable activities, and celebrate collective achievements. TACC is committed to promoting a healthy work-life balance, which contributes to increased employee engagement and job satisfaction. The Research Associate position is situated within the Scalable Computational Intelligence group, where the successful candidate will support researchers in leveraging modern artificial intelligence (AI) and machine learning (ML) techniques. The ideal candidate will possess a robust background in data analytics and a strong passion for research across diverse scientific and engineering fields. This role involves consulting with data providers, analysts, and other research staff to design, develop, and deploy machine learning and data analytics systems tailored to specific project requirements. Additionally, the Research Associate will mentor TACC staff in machine learning and data analysis techniques, support the application of AI/ML across various topics, and contribute to training efforts for researchers in best practices related to AI/ML techniques. The Research Associate will also be responsible for preparing reviewed papers and technical reports, as well as staying updated on new techniques and technologies relevant to AI/ML systems. This position offers an exciting opportunity to work at the forefront of computational research and contribute to impactful projects that advance knowledge and drive innovation.

Responsibilities

• Consult and work with data providers, analysts, systems experts, and other research staff to design, develop, and deploy machine learning and data analytics systems supporting defined project requirements.
• Mentor TACC staff in machine learning and data analysis techniques and technologies and the support needed for them to work within an HPC cluster environment.
• Support the application of AI/ML techniques across various topics and domains.
• Support training of AI/ML techniques and best practices to a broad range of researchers.
• Collaborate and propose new funding opportunities supporting research done at TACC.
• Prepare reviewed papers, technical reports, design, and requirements of data analytic techniques and systems, optimizations, and novel applications across domains supported at TACC.
• Stay at the forefront of new techniques and technologies applicable to AI/ML systems that support implementations in various science and engineering domains.
• Perform other related functions as assigned.

Requirements

• Ph.D. in science, engineering, or other related research fields with a strong background in applied data analytics techniques for research.
• Experience working with AI/ML platforms and algorithms.
• Experience working with domain experts, researchers, and stakeholders to support different applications for their data analytics needs.
• The ability to learn and adapt new technologies to enable new capabilities or improve existing ones.
• Excellent written and verbal communication skills.

Nice-to-haves

• Experience in analyzing both measured and simulated data sources for scientific and engineering research.
• Experience supporting and extending open-source and open-data products for different research communities.
• Familiarity with data analysis systems and workflows.
• Experience training and mentoring researchers in best practices when creating data workflows.
• Strong problem-solving and strategic thinking skills.

Benefits

• 100% employer-paid basic medical coverage
• Retirement contributions
• Paid vacation and sick time
• Paid holidays