Applications Open for Special Faculty - Lecturer Position
The Department of Statistics & Data Science at Carnegie Mellon University invites applications for a full-time; 12-month Special Faculty - Lecturer starting Fall, 2022.
The Department is seeking candidates with a passion for Statistics and/or Data Science and a desire to make a significant impact on the Department’s educational mission. We are looking for a candidate who will develop into a creative and effective educator to contribute to our thriving, modern undergraduate program. A successful candidate will be expected to have strong teaching skills. We welcome applicants working in all areas of statistics and data science, as well as related interdisciplinary fields. Teaching load is typically two classes per semester. There may be opportunities in lieu of teaching a class in a given semester by contributing to the program in other ways. Some examples would be working with the Department’s executive education program, building the repository, developing/improving the curriculum, working with online courses, building data sets, etc.
Lecturers are responsible for leveraging their expertise to deliver education services to undergraduate students through:
- Preparing course plans and materials
- Delivering courses
- Monitoring progress/attendance
- Advising students
- Recording grades and submitting reports
Carnegie Mellon Statistics & Data Science is world-renowned for the significance of its contributions to statistical theory and practice and for its outstanding interdisciplinary applied research.
The Department is also widely recognized for advancing the teaching of Statistics and Data Science and for the excellence of our undergraduate program, with a large number of undergraduate majors and popular joint undergraduate programs in statistics and machine learning, and in statistics and economics. We also have two successful Master’s programs and a thriving Ph.D. program that attract exceptional students from around the world.
Carnegie Mellon is committed to increasing the diversity of its community on a range of intellectual and cultural dimensions. We welcome faculty applicants who will contribute to this diversity through their research, teaching and service. Carnegie Mellon University makes every effort to provide physical and programmatic access to individuals with disabilities. If you require an accommodation to participate in any part of the employment process, please contact Equal Opportunity Services by emailing employeeaccess@andrew.cmu.edu or calling 412-268-3930.
Fall, 2022 semester starts on August 29.
Qualifications
Bachelor degree in a relevant field, or an equivalent amount of professional experience. The instructor should be a practitioner or academic with direct experience with the topic to be covered. Recent experience in teaching prior statistics courses at the college/university level preferred.
Application Instructions
Applicants for this position should submit the following materials: a cover letter of intent which includes language addressing past and/or potential contributions to diversity; curriculum vitae; teaching statement that includes language addressing classroom inclusivity; transcripts; and names and email addresses of three individuals who will be asked to provide confidential letters of recommendation. If desired, candidates can include additional materials, such as website, previous course list, portfolio, etc., to enhance their application.
Application Process
This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.
The link to apply is https://apply.interfolio.com/105992.
Equal Employment Opportunity Statement
Carnegie Mellon University shall abide by the requirements of 41 CFR §§ 60-1.4(a), 60-300.5(a) and 60-741.5(a). These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, or national origin. Moreover, these regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, national origin, protected veteran status or disability.