Lecturer, Mathematical Sciences
The Department of Mathematical Sciences at Bentley University - an independent, private business university located in suburban Boston - invites applications for a Lecturer in mathematics and statistics beginning in Fall 2018. In addition to teaching duties, this position will assist with curriculum development, advise undergraduate students and participate in service activities. Salary and teaching load are competitive.
The department has undergraduate programs in Actuarial Science and Mathematical Sciences, a graduate program in Business Analytics and will offer a new undergraduate program in Data Analytics beginning in Fall 2018. We seek individuals with interest in teaching applied mathematics, probability and statistics. Candidates with interest in teaching Data Mining, Data Science, Time Series Modeling or Operations Research are especially encouraged to apply.
A PhD in mathematics, statistics or a closely related field is preferred, but candidates with Master's degrees and additional professional qualifications such as actuarial credentials, continued participation in scholarly activities or consulting experience will be considered.
Posting Detail Information
Special Instructions to Applicants
Applications will be reviewed immediately upon arrival. Full consideration will be given to all applicants who submit their materials on or before May 1, 2018.
Please apply online at jobs.bentley.edu and include a cover letter, curriculum vitae, and names of three references that can speak to your teaching experience and potential (Bentley will contact these confidential references upon submission of application materials). The inclusion of formal evidence of teaching excellence, such as teaching evaluations, is highly encouraged.
Bentley University requires reference checks and may conduct other pre-employment screening.
Required fields are indicated with an asterisk (*).
Documents Needed To Apply
- Curriculum Vitae
- Cover Letter
- Teaching Evaluations
Bentley University is an Equal Opportunity Employer, building strength through diversity.