The University of Texas System - Austin, TX
posted about 2 months ago
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.