Tenure-track Assistant Professor in Quantitative Developmental Methodology
Department of Human Development and Family Studies, Colorado State University (CSU)
The Department of Human Development and Family Studies at CSU is searching for a tenure-track Assistant Professor in the area of advanced quantitative developmental research methods. The ideal candidate will contribute to our growing program in lifespan applied developmental science as a methodological expert and will apply their expertise to lifespan development and/or family studies. Specifically, we seek a faculty member who has experience with longitudinal data analysis and linear modeling. Expertise in a range of advanced multivariate statistical approaches (e.g., multilevel modeling, latent profile analysis, latent growth curve modeling, dyadic analysis, latent transition analysis), and the ability to secure external funding are expected. Reflecting departmental and institutional values, candidates are expected to have the ability to advance the Department's commitment to diversity and inclusion. The position is 9-months, full-time and will start in August 2019.
The Department of Human Development and Family Studies is one of eight academic programs in the College of Health and Human Sciences. CSU is Colorado’s land-grant institution and holds the Doctoral/Research University-Extensive classification from the Carnegie Commission on Higher Education. CSU is one of three core academic institutions that comprise the Colorado Clinical and Translational Sciences Institute (CCTSI). Many faculty members in Human Development and Family Studies engage in multidisciplinary research collaborations with other CCTSI institutions and affiliates, including the University of Colorado School of Medicine and the Children’s Hospital Colorado. Applicants are encouraged to visit the department at .
- Doctoral degree in Human Development and Family Studies, Psychology, Education, or a related field
- An active program of research and record of scholarly publications
- Evidence of potential to secure external funding for an active research program
- Strong skills in multivariate methods for the analysis of complex developmental and intervention datasets, including multi-wave longitudinal data, randomized controlled trials, intensive repeated measures data, or dyadic data
- Postdoctoral research experience or equivalent
- Experience in conducting developmental, intervention, and translational research
- Commitment to multidisciplinary collaboration and research
- Commitment to graduate and undergraduate teaching and mentoring of doctoral students
- Evidence of the successful use of innovative and creative methods in teaching undergraduate and graduate courses
- Ability to advance the department’s commitment to diversity and inclusion through research, teaching, and outreach with relevant programs, goals, and activities
ESSENTIAL JOB DUTIES:
- Develop and conduct a research program in the area of human development and family studies. Produce conference abstracts, presentations, and manuscripts. Seek extramural funding to support the candidate’s own line of research. Interdisciplinary science is valued, and the candidate will have the opportunity to collaborate with faculty in the department, college, and university
Teach 1-2 courses/semester (3 per year), mentor graduate students, and provide career and research advising to undergraduate students. Course topics will include undergraduate introductory coursework in developmental research methods and upper-level graduate coursework in Structural Equation Modeling, Longitudinal Data Analysis, and other advanced quantitative approaches
Effort will include service to the department, college, university and/or profession. About 10% of effort will be dedicated to methodological consulting with faculty and doctoral students.
To apply, please submit a CV or resume, cover letter addressing the required and preferred qualifications, and list of 3 references directly to this posting at http://jobs.colostate.edu/postings/59546. Emailed applications will not be accepted. References will not be contacted without prior notification of candidates. The position will remain open until filled. For full consideration, submit application materials by October 26, 2018.
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Deborah Fidler, PhD