Postdoctoral Fellow

Location: Austin, Texas
Application Deadline: Open Until Filled
Published: 2 hours ago

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Job Details:

The Texas Advanced Computing Center (TACC) at The University of Texas at Austin is one of the leading supercomputing centers in the world, supporting advances in computational research by thousands of researchers and students. TACC’s STEM Evaluation Services provides research and evaluation services to internal and external entities to help advance their STEM education research, outreach, and impact.

TACC fosters a culture of innovation, passion, and fun by encouraging staff members to actively collaborate to investigate the latest technologies, team up for charities, and celebrate successes together. TACC promotes a healthy workplace by helping employees achieve balance between their personal and professional lives in order to increase employee engagement, job satisfaction, and overall well-being.

Must be eligible to work in the US on a full-time basis for any employer without sponsorship.

Position is for a one year assignment which can be renewed on an annual basis up to a total of five years. Previous time in a postdoctoral fellow position (whether paid or unpaid) at the University or at any other university counts towards this time limitation (unless the area or discipline changes).

Purpose

This position will be responsible for developing and implementing formative and summative evaluations of science, technology, engineering and mathematics (STEM) education related projects, research grants, and contracted evaluation services.

Responsibilities

  • Design and coordinate evaluations of computing and STEM education related programs in collaboration with the EPIC evaluation services team.
  • Collaborate with external organizations (e.g., colleges, research centers, data depositories) and internal partners (e.g., EPIC staff) to obtain data for analysis.
  • Assist internal staff and clients with Institutional Review Board process and documentation.
  • Conduct quantitative research (e.g., survey design, descriptive statistics, inferential statistics) and qualitative research (e.g., interviews, classroom observations, content analysis).
  • Create data visualizations and briefs to communicate evaluation findings to multiple audiences.
  • Contribute to the TACC research/evaluation team, collaborating on research and publications with faculty, staff, and graduate research assistants.
  • Disseminate research and evaluation results at national and regional conferences in coordination with research/project team.
  • Develop evaluation component of grant proposals in coordination with potential clients and the evaluation services team.

Required Qualifications

  • Ph.D. in Computer Science, Mathematics or Science Education, Educational Psychology, or other STEM education-related fields with a strong background in computing and STEM research must have been earned in the past 3 years.
  • Three years of experience in program evaluation and in collaborating with a research team to collect and analyze quantitative and qualitative data.
  • Experience collecting, analyzing, and reporting quantitative and qualitative data for federally funded grants.
  • Proficient in statistical analysis software such as STATA, SPSS, R and/or MAXQDA. Excellent written and verbal communication skills.
  • Proficient in creating data dashboards in Tableau.

Preferred Qualifications

  • Four or more years of program evaluation experience, preferably with computing and STEM education programs.
  • Two or more years of experience conducting research with the Texas Education Research Center statewide data.
  • Content knowledge and skills in conducting research in Mathematics, Science, Engineering, or Computer Science education.
  • Recent peer-reviewed publications in STEM education fields.

Salary Range

$78,000 + depending on qualifications

Working Conditions

  • Typical office environment.
  • Travel may be required (10-15%) for data collection.

Required Application Materials

  • A Resume/CV is required in order to apply.
  • A Letter of Interest is required in order to apply.
  • A List of 3 References with contact information is required in order to apply.

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