Recruit
Lecturer for Master of Social Science (MaSS) Program- Winter and Spring 2025
Position overview
Position title: LecturerApplication Window
Open date: October 7, 2024
Next review date: Wednesday, Nov 6, 2024 at 11:59pm (Pacific Time)
Apply by this date to ensure full consideration by the committee.
Final date: Wednesday, Nov 6, 2024 at 11:59pm (Pacific Time)
Applications will continue to be accepted until this date.
Position description
The UCLA Master of Social Science program (MaSS) is seeking to hire a lecturer for Winter and Spring 2025 to teach SOC SC 403: Quantitative Evidence and Analysis in Social Sciences and SOC SC 404: Quantitative Research Design in Social Science.
SOC SC 403 introduces students to fundamental statistics and data science tools widely used in the social sciences. Students develop core skills for evaluating and presenting quantitative research evidence. The statistical concepts covered include descriptive statistics, inferential statistics, probability, statistical tests, correlation and causation, and regression analysis. This course uses of the R statistical programming language.
SOC SC 404 provides students with an overview of social science research methods with an emphasis on quantitative methodologies and experiments. Students will design research projects, collect data, conduct quantitative analysis that may require descriptive statistics, inferential statistics, probability, statistical tests, correlation and causation, and regression analysis, and report their findings. SOC SC 403 is a prerequisite for this course.
The expected enrollment in each course is approximately 30 students. The courses are taught in a seminar format and include a mix of lecture, demonstration of software tools, tutorial-guided self-study, team-based collaborative work, and discussion.
Qualifications:
Applicants should hold a PhD in a social science or related discipline. Prior experience teaching quantitative methods, quantitative data analysis or statistics, preferably with experience teaching at the graduate level, is required. Additionally, mastery of R statistical programming is necessary.
To Apply:
Applicants should submit a CV and a cover letter describing relevant experiences and qualifications.
Qualifications
PhD. in Social Sciences or related discipline
Prior teaching experience at graduate level.
Application Requirements
Curriculum Vitae - Your most recently updated C.V.
Cover Letter (Optional)
Statement of Teaching (Optional)
Statement on Contributions to Equity, Diversity, and Inclusion - An EDI Statement describes a faculty candidate’s past, present, and future (planned) contributions to equity, diversity, and inclusion. To learn more about how UCLA thinks about contributions to equity, diversity, and inclusion, please review our Sample Guidance for Candidates and related EDI Statement FAQ document.
Reference check authorization release form - Complete and upload the reference check authorization release form
Misc / Additional (Optional)
- 2-4 required (contact information only)
References will be checked during the final stages
Help contact: ckim@ssgs.ucla.edu
About UCLA
As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.
The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age or protected veteran status.
For the University of California’s Affirmative Action Policy, please visit https://www.ucop.edu/academic-personnel-programs/_files/apm/apm-035.pdf.
For the University of California’s Anti-Discrimination Policy, please visit https://policy.ucop.edu/doc/1001004/Anti-Discrimination.