Lecturer in Statistics
Indiana University Bloomington
United States

Lecturer in Statistics

Position Details

 

Title Two Lecturer Positions in Statistics for 2024
Appointment Status Non-Tenure Track
Department IU Bloomington Statistics
Location Bloomington
Position Summary
As part of an anticipated multiyear expansion, the Department of Statistics in the College of Arts and Sciences at Indiana University invites applications for two non-tenure-track lecturer positions with an August 1, 2024 start date.

Created in 2006, IU’s Department of Statistics currently offers both graduate and undergraduate degree programs and maintains the Indiana Statistical Consulting Center. Current large service courses include Stat-S 301, Business Statistics, which serves the Kelley School of Business, and Stat-S 520, Introduction to Statistics, which serves Data Science Masters Students. We are co-located with the Luddy School of Informatics, Computing, and Engineering which is rapidly expanding its initiatives in Data Science and Artificial Intelligence. More information about the department can be found at its website: http://www.stat.indiana.edu. The usual teaching load for non-tenure-track faculty is 5 courses per year, with a half-course reduction per semester for directing Business Statistics.

The College of Arts and Sciences is committed to building and supporting a diverse, inclusive, and equitable community of students and scholars. Women and underrepresented minorities are strongly encouraged to apply. Indiana University is an equal employment and affirmative action employer and a provider of ADA services. All qualified applicants will receive consideration for employment based on individual qualifications. Indiana University prohibits discrimination based on age, ethnicity, color, race, religion, sex, sexual orientation, gender identity or expression, genetic information, marital status, national origin, disability status or protected veteran status. IU is responsive to the needs of dual-career couples.

Applications received by February 20, 2024 will be given full consideration. The search will remain open until a suitable candidate is found. Please apply electronically at PeopleAdmin: https://indiana.peopleadmin.com/postings/22267
Application materials required include: (1) a cover letter addressing why you are interested in our department and providing information and specific examples about past, present, and future contributions to promoting equity, inclusion, and diversity in statistics; (2) a curriculum vita; (3) a statement on teaching which includes evidence of commitment to student success and adoption of evidence-based approaches to teaching and learning; and (4) three or more letters of recommendation addressing the candidate’s teaching expertise.
Basic Qualifications
Applicants should have a strong record of teaching excellence at the undergraduate service-course level. A commitment to cooperation in teaching and/or managing our large service courses, S301: Applied Statistical Methods for Business and/or S303: Statistics for the Life Sciences, as well as to implementing proven effective pedagogical strategies in those courses is essential. A Ph.D is required. A Ph.D. in statistics, biostatistics, computer science, or a closely related field is preferred. Candidates with a Ph.D. in a field that uses statistics with a M.S. in statistics will also be considered.
Department Contact for Questions
Please address questions and correspondence to: Kelly Hanna, Department of Statistics, Myles Brand Hall E104, 901 E 10th St, Bloomington, IN 47408, USA, khanna@indiana.edu, 812-855-7828.

Additional Qualifications  
Salary and Rank  
Special Instructions  
For Best Consideration Date 02/20/2024
Expected Start Date 08/01/2024
Posting/OAA # IU-100733-2024

Supplemental Questions

Required fields are indicated with an asterisk (*).

Applicant Documents

Required Documents
  1. Curriculum Vitae
  2. Letter of Application
  3. Evidence of Teaching Ability
  4. Statement of Teaching Philosophy
Optional Documents
  1. Other
  2. Other 2
  3. Other 3


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