Recreation, Park, and Tourism Management Mobility Data Analytics Post-Doc

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 Pennsylvania State University is seeking an outstanding postdoctoral researcher to join the Department of Recreation, Park, and Tourism Management (https://hhd.psu.edu/rptm). The position is available starting in March 2027 and will be involved in leading and assisting in multiple projects working with National Park Service and other federal agencies on utilizing mobility data to study visitor flows, improving visitor counting procedure, and developing dashboard to visualize visitor use on public lands. This position will also be involved with proposal preparation, research execution, and mentoring students on projects related to public lands and big data analytics. In addition to the public land and data analytics projects, the postdoctoral scholar and the faculty mentors may identify and scope other areas of research to pursue.

Position requires a Ph.D. preferably in Computer Science, Electrical Engineering, Statistics, Mathematics, or a related area. Required skills include a strong record of technical excellence and achievement as demonstrated through publications, presentations at national and international meetings, and research in relevant discipline in data mining, machine learning, natural language processing, deep learning, large language models, pattern recognition, computer vision, etc. The applicant must possess strong prior experience in software development and the ability to design and perform experiments to validate research hypothesis. The applicant must demonstrate strong written communication skills. The candidate must be self-directed and have the ability and willingness to mentor Ph.D., M.S., or undergraduate students working on these projects. Prior experience working in an interdisciplinary, team-oriented technical atmosphere is desirable.

The position fully focuses on research with no expectation of teaching. However, should the scholar want to teach, arrangements can be made to build teaching experience. The objective of this position is to enhance the researcher’s skills and record for a placement in a leading university or research laboratory at the end of the post-doctoral position.

Penn State is a premier Research I university in the northeastern United States situated in a university town, State College, that is within three to four hours by car from New York, Washington, D.C., Philadelphia, Cleveland, Pittsburgh, Baltimore, etc. Situated in a valley surrounded by mountains, State College has a low cost of living and small university town charm.

More information about future plans for the project will be provided to interested candidates. Please submit an application that includes a current CV, a cover letter outlining your interest in the position, and the names and contact information of three professional references. Questions about the position can be sent via email to Professor Bing Pan ([email protected]). Applications will be considered starting immediately and will be accepted on a continuing basis until the position is filled.

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.

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.

Federal Contractors Labor Law Poster

PA State Labor Law Poster

Penn State Policies

Copyright Information

Hotlines