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Career Goals

As a researcher and a former educator, I hope to continue contributing to the field of educational research upon graduation.

Specifically, my goal is to make theoretical and practical developments in teaching and learning within diverse technology-enhanced learning environments. Career-wise, I anticipate running my own lab as a professor at a research oriented university and interacting with future generations and different educational stakeholders across cultures.

Open-Rank Professor, Instructional Design and Technology

Employer

Virginia Tech School of Education

Location

Virginia, United States

The Virginia Tech School of Education is seeking applications for an open-rank professor of Instructional Design and Technology (Assistant, Associate, or Full Professor). This nine-month, tenure-track/tenured faculty position is available August 2023 at the main campus in Blacksburg, Virginia.

This appointment provides a unique opportunity to join and to shape a vibrant research and education community situated in an increasingly diverse and globally connected university. Applicants seeking appointment with tenure at the Associate Professor or Professor rank must meet Virginia Tech’s criteria for tenure at the appropriate rank.

Responsibilities: (a) Conducting an active research and publication agenda, including pursuing external grant funding; (b) designing and teaching courses (online, hybrid, and/or face-to-face) that prepare students for a broad range of instructional design and technology positions in PreK-12 school systems, higher education, government agencies, business and industry, and non-profit organizations; (c) supervising master’s and doctoral students, and (d) providing impactful service to the School of Education, the College of Liberal Arts and Human Sciences, at the university level, and within the profession. The typical teaching load is a total of four courses per year (2 courses in the fall and 2 in the spring semester), and the position requires occasional travel to attend conferences and meetings.

Required qualifications :

  • A Ph.D. or Ed.D. in instructional design and technology, learning technologies, learning sciences, or in a related field by appointment start date

  • An established and active research agenda as evidenced by peer-reviewed publications

  • Demonstrated excellence in teaching undergraduate and/or graduate instructional design and technology courses online, hybrid, and/or face-to-face

  • Demonstrated record of service and leadership at the local, state, and/or national levels

  • Evidence of tangible outcomes related to the advancement of diversity, equity, and inclusion

  • Demonstrated ability to collaborate and to function effectively as a team member

Preferred qualifications:

  • Applied experience designing and developing learning environments based on established educational theories and instructional design practices

  • Extensive record of funded, impactful research and experience managing grant budgets, activities, and staff, commensurate with experience level

  • Demonstrated ability to mentor master’s and doctoral students, including chairing and serving on dissertation committees

  • Demonstrated ability and willingness to mentor junior faculty

  • Demonstrated ability to contribute to course and program development

  • Experience developing and sustaining interdisciplinary initiatives, collaborative partnerships, and/or outreach.

Assistant Professor of Instructional Technology - College of Education

Employer

Northern Illinois University

Location

Illinois, United States

The Department of Educational Technology, Research and Assessment ( ETRA ) at Northern Illinois University seeks candidates for a tenure-track assistant-professor position with primary areas of expertise in science, technology, engineering, and mathematics ( STEM ) education and learning analytics.

Essential Duties and Responsibilities

The department is seeking an assistant professor in our instructional technology program area. The position will involve:

  • Teaching introductory and advanced coursework in learning analytics, STEM education, and instructional technology for the department’s graduate and undergraduate programs, including the K-12 computer science and Technology Specialist endorsement programs.

  • Contributing to the areas of: scholarly productivity; expansion of curricular offerings in areas related to STEM education and/or learning analytics; student mentorship, advising, and dissertation direction; and university, college, and departmental committee service.

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Minimum Required Qualifications

  • Earned doctorate in learning analytics, learning sciences, instructional technology or related field by time of appointment ( ABD considered with established defense date).

  • Prior experience or willingness to teaching using a range of delivery modes and formats (e.g., off-campus, online, blended, dynamically-scheduled).

 

Additional Requirements

  • Evidence of capability to engage in and publish research and present at professional meetings.

 

Preferred Qualifications

  • Evidence of teaching effectiveness at the college level;

  • Record of scholarly collaboration;

  • Capability to write grants to obtain external funding;

  • Skill in use of instructional technology for course delivery;

  • Experience and interest in student mentorship and K-12 or industry partnership activities.

Open Postdoctoral position, faculty mentor Nick Haber

Employer

Stanford Graduate School of Education

Location

San Francisco, United States

Stanford Autonomous Agents Lab, in conjunction with The Stanford Center on Early Childhood, is seeking to hire a postdoctoral research associate in the area of impact-driven artificial intelligence in healthcare, early childhood learning, and education. Under the joint direction of Professors Nick Haber and Philip Fisher, the postdoc will join and lead portions of an ongoing project to develop AI-based tools that enable and automate large-scale data analysis and clinical/learning interventions. As a starting point, we aim to use computer vision and automated speech recognition techniques to partially or fully automate aspects of the FIND Program, with the goal of dramatically increasing access to this proven child/caregiver interaction coaching intervention. FIND is an evidence-based video coaching program that has been documented to improve responsive and supportive interactions for parents of young children and for childcare professionals/early childhood educators. More information about FIND is available here.
 
This role will involve:

  • engineering of AI-based tools on image, video, and other data,

  • leading a team of graduate students, undergraduate students, and staff, with a focus on day-to-day student mentorship,

  • studying and refining the real-world deployment of AI-based tools, from the perspectives of human-computer interaction and educational and clinical impact,

  • using these tools to analyze large-scale human behavioral data, and

  • publication on a wide range of topics (including work on AI tool engineering, human-computer interaction, clinical and educational application efficacy, and human behavioral analyses).

 
The role supports both entrepreneurial (building AI-based tools for real-world deployment) and academic (supporting development of a lab in impact-focused AI) ambitions. While we anticipate the possible need to develop new AI tools, the role’s focus will be on effective application, not on the development of fundamental AI techniques.

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Required Qualifications: 

The candidate must have a PhD and extensive experience in modern deep neural network-based techniques. The ideal candidate should be:

  •     well-versed in current techniques in computer vision and automated speech recognition, with experience in real-world technology deployment,

  •     passionate about child health and development,

  •     experienced in leading a research team.

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Required Application Materials: 

  • CV

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