Are you passionate about advancing the frontiers of artificial intelligence and machine learning? Do you thrive in a collaborative, innovative environment where your contributions directly impact groundbreaking research? The Texas Advanced Computing Center (TACC) at The University of Texas at Austin invites you to join us as a Research Associate for AI/ML and play a vital role in shaping the future of computational discovery.
Why Join Us?
The Texas Advanced Computing Center (TACC) is one of the world’s premier supercomputing centers, supporting thousands of researchers and students in computational science, visualization, and data analytics. At TACC, we foster innovation, celebrate success, and empower staff to make transformative discoveries.
As a Research Associate, you’ll work alongside brilliant minds, leveraging modern AI/ML techniques to solve real-world challenges across science and engineering domains. Whether you're an experienced professional or a rising star, if you're passionate and ready to learn, we encourage you to apply.
What You'll Do
As part of the Scalable Computational Intelligence Group, you’ll:
- Collaborate and Innovate: Partner with data providers, researchers, and systems experts to design, develop, and deploy AI/ML solutions for diverse projects.
- Mentor and Train: Empower researchers by mentoring TACC staff and delivering training on AI/ML best practices.
- Apply and Evolve AI: Utilize advanced techniques to support projects across science and engineering domains, while staying at the forefront of AI advancements.
- Drive Funding Opportunities: Collaborate on proposals to secure funding for cutting-edge research initiatives.
- Communicate Results: Publish reviewed papers, technical reports, and visualizations to share findings and drive innovation.
What We're Looking For
Required Qualifications:
- Ph.D. in science, engineering, or a related field with expertise in data analytics for research.
- Hands-on experience with AI/ML platforms, frameworks, and algorithms.
- Strong interpersonal skills to collaborate with domain experts and stakeholders.
- Adaptability to learn and implement new technologies.
- Exceptional communication skills, both written and verbal.
Preferred Skills:
- Experience analyzing scientific or engineering datasets, both measured and simulated.
- Expertise in supporting and extending open-source and open-data solutions.
- Familiarity with HPC environments, workflows, and training researchers in data workflows.
- Strategic thinking with a knack for solving complex problems.
What We Offer
- Compensation & Benefits: Competitive salary starting at $90,000+ and 100% employer-paid basic medical coverage, retirement contributions, and paid time off.
- Professional Growth: Join a dynamic environment that fosters creativity and career development.
- Work-Life Balance: We value your well-being and support a healthy workplace culture.
- Purposeful Work: Help researchers make discoveries that change the world.
Application Process
To apply, please provide:
- Resume/CV
- Letter of interest
- Contact information for three references (at least one from a supervisor)
