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 DII Lab at Penn State (College of Engineering) is seeking a highly motivated Postdoctoral Scholar to conduct research at the intersection of artificial intelligence, digital twins, engineering informatics, and intelligent construction.

Potential research topics include:

• AI agents and large language models for engineering applications

• Knowledge graphs and graph-based reasoning

• BIM / IFC and digital twins

• Engineering requirement formalization and traceability

• Construction planning, scheduling, and constraint reasoning

• Automated verification and engineering decision support

• Dependency and impact analysis

• Integration of design, manufacturing, construction, and verification information

Required Qualifications:

• Ph.D. in engineering, computer science, or a closely related field, completed by the start date

• Strong research and programming background

• Demonstrated ability to conduct independent research

• Strong scholarly publication record

• Strong written and oral communication skills

Experience in one or more of the following is particularly desirable:

• AI/ML

• LLMs/AI Agents

• Knowledge Graphs

• BIM/IFC

• Digital Twins

• Graph Neural Networks

• Construction Informatics

• Semantic Modeling

• Engineering Data Integration

Start Date: As soon as possible

Location: Penn State University Park, Pennsylvania

Appointment: Full-time Postdoctoral Scholar

How to Apply

Please submit the following materials:

• Curriculum Vitae

• Brief statement of research experience and interests

• 1–2 representative publications

• Contact information for three references

Immediate availability for an on-site appointment is strongly preferred. Applications will be reviewed immediately and on a rolling basis until the position is filled.

JOIN US to develop next-generation AI-enabled engineering systems connecting knowledge, digital models, and physical construction.

 

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.)

 

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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.

Penn State is committed to and accountable for advancing equity, respect, and belonging. We embrace individual uniqueness, as well as a culture of belonging that supports equity initiatives, leverages the educational and institutional benefits of inclusion in society, and provides opportunities for engagement intended to help all members of the community thrive. We value belonging as a core strength and an essential element of the university’s teaching, research, and service mission.

 

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