Consortium of Universities of the Washington Metropolitan Area
Assistant Professor of Quantitative/Computational Psychology
Consortium of Universities of the Washington Metropolitan Area, University Park, Texas, United States
Overview
Assistant Professor of Quantitative/Computational Psychology. 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 in the areas of Cognitive Psychology, Cognitive Neuroscience, or Industrial-Organizational psychology. Area of methodological expertise is open and could include 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 aimed at improving individual and collective health and 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, the Center for Social Data Analytics, the Institute for Computational and Data Sciences, and the Social, Life, & Engineering Sciences Imaging Center, which provides neuroimaging facilities and dedicated staff to support neuroimaging research.
Responsibilities
Maintain a strong record of publications in top outlets.
Resident instruction at the undergraduate and graduate level and normal university service, based on qualifications. Onsite teaching is an essential function of the job.
Engage in teaching and service duties appropriate to a tenure-track position; contribute to the department’s research and teaching mission.
Qualifications
Ph.D. in Psychology or a related field required by the appointment date.
Demonstrated ability as a researcher, scholar, and teacher in a relevant field with evidence of scholarly growth; ideal candidates will have a record of publications in top outlets and potential for external funding.
Candidates for the tenure-track Assistant Professor of Psychology position should have potential for external funding and a strong research, teaching, and scholarly trajectory.
Application Process Interested candidates must submit an online application at Penn State's Job Posting Board and upload the following materials electronically: a letter of interest, CV or resume, and concise statements of research and teaching interests. System limitations allow for a total of 5 documents (5 MB per document); please combine materials to meet the 5-document limit.
In addition, arrange to have three letters of recommendation sent electronically to PsychApplications@psu.edu with the subject line: “Quantitative-Computational Search.” Questions regarding the application process can be emailed to PsychApplications@psu.edu, and questions regarding the position can be sent to the search chairs at SSRIQuant-CompSearch@psu.edu.
Visit our website at https://psych.la.psu.edu/
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 the Benefits Page.
EEO 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 814-865-1473. The university is committed to equity, respect, and belonging and supports inclusion in society and the campus community.
Apply online
at
https://psu.wd1.myworkdayjobs.com/PSU_Academic/job/Penn-State-University-Park/Assistant-Professor-of-Quantitative-Computational-Psychology_REQ_0000071685-1
Campus Security Crime Statistics For safety information and the Annual Security Report, visit http://www.police.psu.edu/clery/ for details on safety and how to request a hard copy of the report.
Penn State is an equal opportunity, affirmative action employer and is committed to providing employment opportunities to all qualified applicants regardless of race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
#J-18808-Ljbffr
We seek candidates who use cutting-edge methods to advance our understanding of complex social, cognitive, and behavioral phenomena in the areas of Cognitive Psychology, Cognitive Neuroscience, or Industrial-Organizational psychology. Area of methodological expertise is open and could include 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 aimed at improving individual and collective health and 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, the Center for Social Data Analytics, the Institute for Computational and Data Sciences, and the Social, Life, & Engineering Sciences Imaging Center, which provides neuroimaging facilities and dedicated staff to support neuroimaging research.
Responsibilities
Maintain a strong record of publications in top outlets.
Resident instruction at the undergraduate and graduate level and normal university service, based on qualifications. Onsite teaching is an essential function of the job.
Engage in teaching and service duties appropriate to a tenure-track position; contribute to the department’s research and teaching mission.
Qualifications
Ph.D. in Psychology or a related field required by the appointment date.
Demonstrated ability as a researcher, scholar, and teacher in a relevant field with evidence of scholarly growth; ideal candidates will have a record of publications in top outlets and potential for external funding.
Candidates for the tenure-track Assistant Professor of Psychology position should have potential for external funding and a strong research, teaching, and scholarly trajectory.
Application Process Interested candidates must submit an online application at Penn State's Job Posting Board and upload the following materials electronically: a letter of interest, CV or resume, and concise statements of research and teaching interests. System limitations allow for a total of 5 documents (5 MB per document); please combine materials to meet the 5-document limit.
In addition, arrange to have three letters of recommendation sent electronically to PsychApplications@psu.edu with the subject line: “Quantitative-Computational Search.” Questions regarding the application process can be emailed to PsychApplications@psu.edu, and questions regarding the position can be sent to the search chairs at SSRIQuant-CompSearch@psu.edu.
Visit our website at https://psych.la.psu.edu/
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 the Benefits Page.
EEO 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 814-865-1473. The university is committed to equity, respect, and belonging and supports inclusion in society and the campus community.
Apply online
at
https://psu.wd1.myworkdayjobs.com/PSU_Academic/job/Penn-State-University-Park/Assistant-Professor-of-Quantitative-Computational-Psychology_REQ_0000071685-1
Campus Security Crime Statistics For safety information and the Annual Security Report, visit http://www.police.psu.edu/clery/ for details on safety and how to request a hard copy of the report.
Penn State is an equal opportunity, affirmative action employer and is committed to providing employment opportunities to all qualified applicants regardless of race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
#J-18808-Ljbffr