Post Doctoral for Teacher Education

Position Summary

The Teacher Education Department within the College of Education at the University of Texas at El Paso is excited to offer a full-time Postdoctoral position funded by a National Science Foundation (NSF) project. This role provides an opportunity to contribute to initiatives that enhance knowledge, practice, and policy at the intersection of K–12 computer science education and research–practice partnerships.

Position Summary

The primary aim of the position is to build the capacity—such as knowledge, skills, practices, and literacies—of recent doctoral graduates in education whose work engages with computer science and other STEM fields.

Key Responsibilities

• Collaborate with faculty investigators to carry out responsibilities, including, but not limited to, the following:
• Developing and implementing lines of inquiry aligned with the scholar's interests, expertise, and social science research goals in one or more areas: K-12 computer science student learning, teaching practice, or policy
• Writing/Amending IRB applications and obtaining IRB approvals
• Collecting/Analyzing/Managing education-related qualitative and quantitative data sources
• Collaborating with and mentoring undergraduate and graduate students
• Publishing and presenting research findings in competitive peer-reviewed venues
• Presenting project findings at national conferences with project travel funding provided
• Writing grant funding proposals to seek extramural support
• Engaging in participatory approaches to research, practice and policy development and implementation
• Coordinating and working with diverse community stakeholders (e.g., district-, school- and community-based within existing Paso del Norte region Partnership for Education Research)
• Assisting with project management

Qualifications

• Education: PhD.
• Experience: No years of experience.
• Knowledge: Of statistical concepts and methods and their application to research analysis; of measurement, testing, and evaluation; and of research methods, principles, techniques, and philosophies.
• Skills: Skilled in conducting qualitative and quantitative research and in using computers, software, and statistical tools and programs.
• Ability: To plan, organize, and oversee research projects, evaluate research data, ensure the development of measuring instruments with respect to reliability, relevance, and validity, interpret and publish research findings, and communicate effectively.

Preferred Qualifications

• PhD. and Experience: No years of experience.
• Knowledge: Of statistical concepts and methods and their application to research analysis; of measurement, testing, and evaluation; and of research methods, principles, techniques, and philosophies.
• Skills: Skilled in conducting qualitative and quantitative research and in using computers, software, and statistical tools and programs.
• Ability: To plan, organize, and oversee research projects, evaluate research data, ensure the development of measuring instruments with respect to reliability, relevance, and validity, interpret and publish research findings, and communicate effectively.
• Successful candidates must possess a Ph.D. in Learning Sciences, Computer Science, Data Science, Education Policy, Curriculum Theory, STEM Education, or related fields.
• Evidence: Evidence of research productivity in topics related to education theory, practice or policy in K-12 computer science teaching and learning, research practice partnerships, constructionism, data science, machine learning, artificial intelligence, learning analytics, educational data mining, and/or related fields.