The University of Texas at Austin Job Posting

This posting is Closed

Research Associate

Hiring department TACC
Monthly salary OPEN
Hours per week 40.00 Standard from 800AM to 500PM
Posting number 18-01-23-02-0708
Job Status Closed
FLSA status Exempt
Earliest Start Date Immediately
Position Duration Funding expected to continue
Position open to all applicants
Location Austin - J. J. Pickle Research Campus (North Austin)
Number of vacancies 1
General Notes

May be filled as Research Scientist based on qualifications.

Required Application Materials

  • A Resume is required in order to apply
  • A Letter of Interest is required in order to apply.
  • A List of 2 References is required in order to apply.

Additional Information


The Research Associate position in the Data Management and Statistics (DMS) area at TACC will contribute to research, development, and support activities involving data mining and machine learning technologies and the interfaces by which users can transparently harness these techniques and technologies.

Essential Functions

Responsible for assignments that require the technical knowledge to modify or adapt routine procedures under the direction of a supervisor, to meet special research requirements for data projects hosted at TACC. Working with data providers, consumers, systems experts, and staff to design, develop, deploy, and support scalable high performance machine learning application and systems at TACC. Prepare user documentation and guides to support the usage and operations of data analysis tools and APIs supported and/or developed at TACC. Assists fellow research associates, research scientists, engineers, or faculty members with specific phases of research projects. Explore and understand new techniques and technologies related to support high performance scaleable data analysis. Assist with creating research and system proposals to support work done at TACC and with research partners of TACC. Train and teach the capabilities and potential usages of machine learning techniques in a wide array of research domains and levels of computational abilities. Other related functions as assigned by manager and leadership team.

Marginal/Incidental functions

Other related functions as assigned.

Required qualifications

Ph.D. degree in Data Science, Computer Science, Statistics, or other related research field with a strong background in machine learning and data analytics. Experience implementing and supporting a machine learning and data analytics applications or workflows. The ability to learn, adapt, and teach new technologies to enable new capabilities or improve on existing ones. Experience teaching data mining and machine learning to a wide array of students, researchers, and developers. Experience collaborating with a team of domain and technology experts implementing solutions based on machine learning and natural language processing techniques. Excellent written and verbal communications skills. Equivalent combination of relevant education and experience may be substituted as appropriate.

Preferred Qualifications

Five or more years experience in developing and implementing machine learning algorithm/applications in an academic research environment. Three or more years working experiences with high performance computing resources and data centers. Practical experiences with teaching, deploy and using at least one common deep learning frameworks such as Caffe, Tensorflow, deeplearning4j, Torch. Experience developing applications in large parallel environments using tools such as Hadoop, Hbase and SparkML. Excellent problem solving and strategic thinking skills. Familiar with standard parallel computing tools and interface, such as MPI. Recent peer-reviewed publications in computer science fields relevant to machine learning, big data analysis and/or high performance computing.

Working conditions

May work around standard office conditions May work around electrical and mechanical hazards Repetitive use of a keyboard at a workstation

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