How to Apply
Interested applicants should submit: a cover letter describing relevant teaching experience, including the level and types of students taught; a curriculum vitae; a list of courses taught and student course evaluations from recent teaching, as well as any other evidence of success teaching quantitative methods to students of diverse backgrounds. These should be submitted as a single document. Applications received by July 1, 2018, will receive full consideration.
The Gerald R. Ford School of Public Policy at the University of Michigan seeks applicants for a full-time Lecturer III position to teach courses in Statistical Analysis and Data Visualization with Excel and Basic Statistical Analysis Using Stata. Future courses will likely include teaching Basic Statistical Analysis Using R Programming, and perhaps other courses within the selected candidate’s area of expertise. The position will start September 1, 2018. This is a non-tenure track position with an initial two-year contract; the position is renewable, subject to performance, programmatic need, and budgeting. The successful candidate will be a member of the Ford School non-governing faculty and participate in the Ford School community.
Responsibilities for this position include a teaching load of 12-15 credits per academic year and limited service responsibilities. Most of the teaching will be to students pursuing a BA degree in public policy or a Masters in Public Policy who seek to further improve their applied quantitative skills. All courses will enroll between 25-35 students and will be taught in the Ford School computer lab or similar space.
The course on Excel should address data collection and management, descriptive statistics, scenario analysis, use of the solver tool, analysis of variance, simulation, forecasting, macro programming and data visualization. The course on Stata should address dataset and variable management, descriptive analysis and graphing, linear regression, multivariate analysis for categorical dependent variables, post-estimation tools and simulation. Likely beginning academic year 2019-2020, we would also like to include a course on R Programming that addresses data management, descriptive analysis and graphing, regression for both continuous and categorical dependent variables, and simulation.
Qualified candidates will have: 1) a masters degree in a social science, statistics or other field that includes applied statistical analysis; 2) applied data analysis experience; 3) experience and sophisticated skills in Stata and Excel; and 4) some teaching experience. Prior experience utilizing R for statistical analysis will be strongly preferred.
Women and minorities are encouraged to apply.
The terms and conditions for this appointment are subject to the collective bargaining agreement between the University of Michigan and the Lecturers’ Employee Organization.
U-M EEO/AA Statement
The University of Michigan is an equal opportunity/affirmative action employer.