Adjunct Instructor - Statistical Modeling (Online)

Job description

Posting Details

Job TitleAdjunct Instructor - Statistical Modeling (Online)CampusBangorPosting NumberFull or Part TimePart-TimePosition TypeAdjunctRankAdjunctBenefits EligibleNoJob Description Summary

Husson University is seeking an experienced statistician to develop and instruct an upper-level online course in statistical modeling. This course covers statistical models widely used in data analytics including time series models, Markov chains, Game Theory, Bayesian probability, contagion models, and queuing theory. Model applications include but are not limited to logistics, computational biology, and environmental science.

Duties and Responsibilities

This position involves developing a course in statistical modeling for online instruction and teaching the course in spring 2021. Experience with the Canvas learning management system as well as online course development and instruction is preferred.

Education and Experience

A Master’s degree in Statistics or Mathematics is required; PhD preferred.

Physical RequirementsEEO StatementClose DateOpen Until FilledNoSpecial Instructions to Applicants

The successful applicant will work with Math faculty and the Department of Online Education to develop the course during the fall of 2020 and winter of 2021. Instruction will begin in spring 2021.

Quick Link to Postinghttp://husson.peopleadmin.com/postings/2835Supplemental Questions

Required fields are indicated with an asterisk (*).

  1. Have you previously been employed by Husson University?
    • Yes
    • No
  2. If you have been previously employed by Husson University, please describe your previous work.

    (Open Ended Question)

Applicant DocumentsRequired Documents
  1. Curriculum Vitae
  2. Cover Letter
  3. List of References
Optional Documents
  1. Unofficial Transcripts
  2. Letter of Recommendation 1
  3. Letter of Recommendation 2
  4. Letter of Recommendation 3

 

 

 

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Job No:
Posted: 10/14/2020
Application Due: 1/12/2021
Work Type:
Salary: