Employment Details
Claremont McKenna College hires and promotes individuals on the basis of their qualifications, consistent with applicable state and federal laws, without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, pregnancy, breastfeeding or related medical condition, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, genetic characteristic or information, military and veteran status, or any other characteristic protected by state or federal law. Inquiries may be directed to the Director for Human Resources, 528 N. Mills Avenue, Claremont, California 91711-4015, (909) 621-8490. All applicants must complete and submit an online application to be considered for an open position. Employment is contingent upon new employee providing documents verifying U.S. citizenship or, for aliens, documents verifying legal permission to work in the United States, applicant's acceptability for positions requiring use of a college vehicle is contingent upon a driving record acceptable to the College's automobile liability insurance. Promotion from within is encouraged whenever qualified employees of Claremont McKenna College are available. Interested employees of the College are urged to contact the Director of Human Resources if qualified for any open position. Please do not contact departments directly.
Position Details | |
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Posting ID: | 17040 |
Position Title: | Assistant Professor, Quantitative Psychology (Open Area) |
Category: | Tenure-track |
Department: | Psychological Science |
Department URL: | https://www.cmc.edu/psychological-science |
Description: | The Department of Psychological Science at Claremont McKenna College invites applications for a tenure-track faculty position at the early Assistant Professor level focused on advanced quantitative methods in a sub-field of psychology (e.g., cognitive, clinical, developmental, organizational and/or social psychology). The successful candidate must hold a Ph.D. in Psychology by the time of the appointment, which begins on July 1, 2025. Candidates should have a strong research record evidencing their use of advanced quantitative methods, have experience teaching undergraduate statistical methods, and show promise for a sustained research program involving undergraduate students. We are particularly interested in scholars with expertise in advanced quantitative methods that extend existing departmental quantitative strengths. Such modeling methods could include but are not limited to: Clustering, classification, random forest, multilevel, forecasting/longitudinal, Bayesian, nonlinear, etc. We especially encourage applications from scholars who (1) can introduce undergraduates to advanced quantitative methods relevant to both academic and industry related data-science problems and (2) are committed to interdisciplinary research and teaching with the potential to collaborate with existing faculty in Psychological Science and bridge connections with faculty and students in other disciplines (e.g., Data Science, Government/Public Policy, Mathematics, Integrated Sciences, etc.). The teaching load is two courses per semester. Candidates should be effective in teaching students in a liberal arts setting, characterized by small class sizes and high levels of student interaction. The successful applicant will be able to teach a core course (i.e., Statistics or Research Methods), a lower-level course in their specialty area (e.g., clinical, developmental, cognitive, social, or organizational psychology), and an upper-level course related to quantitative methods that would appeal broadly to students of Psychological Science and Data Science pursuing careers in academics, industry, or consulting. Given our commitment to cultivating an inclusive educational environment, we seek candidates who can demonstrate a commitment to teaching, mentoring, and inspiring students representing a broad range of socioeconomic backgrounds, political opinions, genders, races, ethnicities, nationalities, sexual orientations, and religions. Moreover, as part of its commitment to The Open Academy, the College values freedom of expression, viewpoint diversity, and constructive dialogue. Anticipated annual salary range: $90,000 - $105,000 |
Procedures and Timetable: |
Please include (1) a cover letter; (2) CV; (3) research statement outlining a research program; (4) teaching statement of pedagogy; (5) diversity statement recognizing unique contributions, background, or perspectives related to teaching, research, and service; (6) evidence of teaching effectiveness/evaluations for all previous courses, if applicable; and (7) copies of relevant publications/papers in progress. Please also submit the names and addresses of three recommenders; an email will be automatically sent to them with a link to upload their confidential recommendation letter. We will begin to review complete applications on October 1, 2024. Review of applications may continue until the position is filled. If you have any questions regarding the position, please contact Gabriel Cook (Chair of the Search Committee and Associate Professor of Psychological Science) at (909) 607-0493, gcook@cmc.edu. Claremont McKenna College is a highly selective undergraduate institution ranked among the top liberal arts colleges nationally and is part of The Claremont Colleges, which also includes Pomona College, Scripps College, Harvey Mudd College, Pitzer College, Claremont Graduate University, and Keck Graduate Institute. The Claremont Colleges consortium constitutes an academic community of more than 9,000 students. Claremont is located 35 miles east of downtown Los Angeles. Claremont McKenna College is an equal opportunity employer. In a continuing effort to enrich its academic environment and provide equal educational and employment opportunities, the College actively encourages applications from members of historically under-represented groups in higher education. Please be sure to complete the brief application survey using the following Qualtrics link: https://claremontmckenna.co1.qualtrics.com/jfe/form/SV_2oCc3YyV4XBUxhk |