APPLICATION INSTRUCTIONS:

• CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.

• CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.

• If you are NOT a current employee or student, please click “Apply” and complete the application process for external applicants.

 

Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants.

This is a term position; length of the term will be discussed during the interview process. Continuation past the term length discussed will be based on university need, performance, and/or availability of funding.

 

POSITION SPECIFICS

The Department of Learning and Performance Systems in the College of Education at Penn State invites applications for a Postdoctoral Scholar in AI and the Learning Sciences. This is a full-time, one-year in-residence position at the University Park campus (remote work is not available for this role). The postdoctoral scholar will support a collaborative group of faculty conducting research at the intersection of learning sciences and artificial intelligence, with particular focus on large language models (LLMs), generative AI (GenAI), and assistive AI as tools and partners in learning, identity-development, workforce preparedness, and civic participation. The projects will be studying AI in the context of learning and use, rather than focusing solely on technical model development.

The position is grounded in a learning sciences perspective, emphasizing the design and study of learning in real-world contexts. The scholar will contribute to a portfolio of pilot studies, empirical research, scholarly publications, and grant development activities and initiatives.

Faculty areas of research interest include, but are not limited to:

• AI as a partner in human learning, thinking, and problem solving

• Design and study of AI-mediated learning environments and tools

• Teaching and learning with AI in K–12, higher education, and informal/community settings

• Equitable and ethical uses of AI in learning contexts

• Learning across settings, including school-based, workplace, and informal environments

RESPONSIBILITIES

Research and Project Development

• Collaborate with faculty across multiple projects to design, implement, and study AI-supported learning environments

• Contribute to design-based and mixed-methods research, including qualitative and case-based studies

• Support pilot studies and early-stage project development (e.g., instrument design, data collection, and analysis)

• Conduct analyses of learning processes and outcomes, including interaction, discourse, and artifact-based analyses

Collaboration and Mentoring

• Work across a multi-PI, interdisciplinary portfolio of projects

• Mentor graduate and undergraduate students engaged in research

• Participate in collaborative writing, team meetings, and research planning activities

• Identify and pursue opportunities for complementary independent research aligned with the broader project portfolio

Proposal Development and Research Infrastructure

• Contribute to research-practice partnerships with schools and community-based organizations

• Help establish and maintain project management systems (e.g., timelines, IRB protocols, and data stewardship plans)

• Support the design and development of external grant proposals

Dissemination and Translation

• Lead and co-author scholarly publications, conference presentations, and grant reports

• Support translation of research into design principles, tools, and guidance for educators

• Contribute to outputs for both academic and practitioner audiences

QUALIFICATIONS

Required Qualifications

• Ph.D. (by start date) in Learning Sciences, Education, Educational Technology, Human-Computer Interaction, or a closely related field

• Demonstrated experience conducting empirical research in educational or community settings

• Strong writing, collaboration, and project management skills

• Evidence of scholarly productivity and ability to contribute to research dissemination

Preferred Qualifications

• Interest in or experience studying AI in learning environments or pedagogical practices

• Interest in learning across settings (e.g., schools, workplaces, informal or community-based environments)

• Experience contributing to manuscripts for publication or grant proposal development

• Ability to work effectively across multiple concurrent projects and teams

APPOINTMENT DETAILS

This is a full-time, one-year postdoctoral appointment based at Penn State’s University Park campus, with an anticipated start date in Fall 2026. The annual salary is anticipated between $63,480 and $65,000. The scholar will receive four weeks of vacation, a travel fund for conference participation, and medical insurance and other standard university benefits. The scholar will be formally supervised by the Head of the Department of Learning and Performance Systems (Dr. Heather Toomey Zimmerman) and will be integrated into a collaborative network of faculty mentors based on research alignment. To learn more about faculty research, candidates are encouraged to visit: https://ed.psu.edu/academics/departments/department-learning-and-performance-systems. The position is intended to support the scholar's development as an independent researcher alongside collaborative work with faculty.  Professional development opportunities are available through Penn State’s postdoctoral community and interdisciplinary research ecosystem.

APPLICATION MATERIALS

Applicants should submit:

• Cover letter describing research interests, theoretical and methodological expertise, and fit with this position

• Curriculum Vitae

• One representative writing sample (candidates should describe their contributions to this manuscript in the cover letter)

• Names and contact information for three professional references

System limitations allow for a total of 5 documents (5MB per document) as part of your application. Please combine materials to meet the 5-document limit.

Review of applications will begin immediately and continue until the position is filled. Priority consideration is given to applications received by July 26, 2026.

 

BACKGROUND CHECKS/CLEARANCES

Employment with the University will require successful completion of background check(s) in accordance with University policies.

 

 

 

BENEFITS

Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional well-being.

 

For more detailed information, please visit our Benefits Page. (Note: For Postdoctoral benefits, please see our Postdoctoral Benefits page.)

 

CAMPUS SECURITY CRIME STATISTICS

Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.

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