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 Penn State Department of Human
Development and Family Studies , located in the College of Health and Human Development , is actively seeking applications for an open-rank, tenure-track or tenured faculty position in quantitative developmental and family systems methods. Competitive candidates will have expertise in measurement, latent variable modeling, or novel data integration approaches. Particular attention will be given to applicants whose
major area(s) of research coincides with one of the followings: The development of novel methods to strengthen the measurement and analysis of multi-system, multi-scale processes (e.g., models of within-person change and variability in human development and family processes across the lifespan; multilevel methods that integrate individual and community differences across contexts) Methods for large data sets Latent
variable modeling Computational models of psychological processes, health decision processes, and human dynamics The use of advanced longitudinal methodologies to analyze intensive data streams, including mobile sensor data, social media, and ecological momentary assessment data The use of models as measurement instruments The selected candidate will contribute to advancing scholarship in quantitative methodology and
data science in social and behavioral sciences within the Department, College, and University. Mid-career or senior candidates should also address their potential to serve in a leadership capacity in these areas. Responsibilities also include teaching undergraduate and graduate level courses as well as directing theses/dissertations. Key Qualifications of the Candidate: The successful candidate at each rank will have
Summary from the source posting. Always confirm details on the institution's official career page.