Research Scientist for AI and ML Applications

Qualifications

• The ideal candidate will have a strong background in data analytics and a passion for research across many science and engineering domains

Benefits

• The University of Texas at Austin offers a competitive benefits package, including 100% employer-paid basic medical coverage, retirement contributions, paid vacation and sick time, and paid holidays

Responsibilities

• As a key member of our team, you will work closely 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

• Key responsibilities include consulting with data providers, analysts, systems experts, and other research staff, mentoring TACC staff in machine learning and data analysis techniques, and collaborating with researchers to apply AI/ML techniques across various topics and domains

• Consult and work with data providers, analysts, systems experts, and other research staff to design, develop, and deploy machine learning and data analytics systems

• Mentor TACC staff in machine learning and data analysis techniques and technologies

• Support the application of AI/ML techniques across various set of topics and domains

• 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

Full Description

We are seeking a talented Research Associate to join our team in the Scalable Computational Intelligence group at the University of Texas at Austin. As a key member of our team, you will work closely 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.

About thePosition:

The ideal candidate will have a strong background in data analytics and a passion for research across many science and engineering domains. Key responsibilities include consulting with data providers, analysts, systems experts, and other research staff, mentoring TACC staff in machine learning and data analysis techniques, and collaborating with researchers to apply AI/ML techniques across various topics and domains.

• Consult and work with data providers, analysts, systems experts, and other research staff to design, develop, and deploy machine learning and data analytics systems.

• Mentor TACC staff in machine learning and data analysis techniques and technologies.

• Support the application of AI/ML techniques across various set of topics and domains.

• 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.

About the Group:

The Scalable Computational Intelligence group at the University of Texas at Austin is dedicated to supporting researchers leveraging modern AI/ML techniques. We are passionate about advancing knowledge and changing the world through innovative research and education.

About the Benefits:

The University of Texas at Austin offers a competitive benefits package, including 100% employer-paid basic medical coverage, retirement contributions, paid vacation and sick time, and paid holidays.

How to Apply:

To be considered for this position, please submit your resume, letter of interest, and names of three references through our online application portal.

We look forward to hearing from you!