Assistant Professor of Quantitative/Computational Psychology

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.

POSITION SPECIFICS

The Department of Psychology at The Pennsylvania State University, University Park, PA, invites applications for a full-time Assistant Professor of Quantitative/Computational Psychology. The position is co-funded by Penn State's Social Science Research Institute. 

We seek candidates who use cutting-edge methods to advance our understanding of complex social, cognitive, and behavioral phenomena--specifically in the areas of Cognitive Psychology, Cognitive Neuroscience, or Industrial-Organizational psychology.

Area of methodological expertise is open and could include areas such as, but not limited to, agent-based models, artificial intelligence, Bayesian models, data visualization, dynamic causal models, dynamic systems models, item response theory, large language models, machine learning, mixture models, multilevel models, multimodal data fusion, network psychometrics, structural equations models, text analytics, and virtual reality. 

A record of collaboration is desirable. We expect that this person will support new approaches in the social sciences that are aimed at improving individual and collective health & well-being. Substantial collaboration opportunities exist within the department that align with the department's cross-cutting research themes and across campus. Penn State has extensive resources fostering social science research including the Social Science Research Institute which advances interdisciplinary research that addresses critical human and social problems, the Center for Social Data Analytics which supports computationally and/or data intensive social research; the Institute for Computational and Data Sciences which serves as hub for interdisciplinary research focused on emerging scientific and societal issues; and the Social, Life, & Engineering Sciences Imaging Center which provides state-of-the-art neuroimaging facilities and dedicated staff to support neuroimaging research.

Responsibilities include maintaining a strong record of publications in top outlets. This position will include resident instruction at the undergraduate and graduate level and normal university service, based on the candidate's qualifications. Onsight teaching is an essential function of the job.

A Ph.D. in Psychology or a related field is required by the appointment date.

Candidates for the tenure-track Assistant Professor of Psychology position must have demonstrated ability as a researcher, scholar, and teacher in a relevant field and have evidence of growth in scholarly achievement. Duties will involve a combination of teaching ( undergraduate and graduate), research, and service, based on the candidate's qualifications.

The ideal candidate will have a record of publications in top outlets and have either a history of or potential for external funding.

Interested candidates must submit an online application at Penn State's Job Posting Board, and should upload the following application materials electronically: a letter of interest, CV or resume and concise statements of research and teaching interest's statements of research and teaching interests. 

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.

In addition, please arrange to have three letters of recommendation sent electronically to with the subject line: "Quantitative-Computational Search." Questions regarding the application process can be emailed to , and questions regarding the position can be sent to the search chairs at SSRIQuant-

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BACKGROUND CHECKS/CLEARANCES

This position requires the following clearances in addition to applicable background checks: PA State Police Criminal Background Check, PA Child Abuse History Clearance Form, and Federal (FBI) Fingerprint Criminal Background Check.

BENEFITS

Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional wellbeing. In addition to comprehensive medical, dental, and vision coverage, employees enjoy robust retirement plans. One of the standout benefits is the generous 75% tuition discount, available to employees as well as eligible spouses and children.

For more detailed information, please visit our 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.

EEO IS THE LAW

Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact

The Pennsylvania State University 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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