University of Massachusetts Amherst, Department of Mathematics and Statistics

Position ID: UMassAmherst-LECTURER [#14844]
Position Title: Lecturer (Boston-Area Newton Mount Ida Campus)
Position Type: Non tenure-track faculty
Position Location: Amherst, Massachusetts 01003-9305, United States [map]
Subject Area: Statistics
Application Deadline: 2019/11/01 11:59PMhelp popup finished (2019/10/13, finished 2020/05/03, listed until 2020/04/13)
Position Description:    

*** this position has been closed. ***

About UMass Amherst - Boston-Area Newton Mount Ida Campus
The University of Massachusetts Amherst has recently started a new M.S. option in Statistics at the Boston-Area Mount Ida campus in Newton (just outside Boston). 

Located in Newton, adjacent to the Newton-Needham Innovation District, and the tech-focused Route 128 corridor, The Mount Ida Campus of UMass Amherst is the Greater Boston instructional location of the Commonwealth’s flagship campus. At Mount Ida, UMass Amherst offers an array of experiential learning opportunities to its undergraduate students, as well as a growing number of graduate and professional degree programs. The campus is growing its undergraduate career development programs with expanded access to internships and co-ops in the thriving Greater Boston area. Academic programs at the Mount Ida Campus are aligned with the increasing demand for talent in areas such as health care, business, computer science, and other STEM specialties, ensuring the campus will play an important role in filling the talent pipeline that drives the Massachusetts innovation economy. 

Job Description: 

The Department of Mathematics and Statistics ( at the Mount Ida campus of the University of Massachusetts Amherst seeks an academic-year (9-month), full-time Lecturer with expertise in statistics to teach graduate courses starting in Fall 2020 (standard teaching load two master’s level courses per semester) with an initial appointment of one year. Lecturers at UMass Amherst enjoy significant benefits and status under the negotiated faculty contract, including potential for an open-ended appointment with just-cause protection after four years and a promotion ladder to Senior Lecturer and Senior Lecturer II (see Article 21 of the MSP/MTA/NEA contract linked on this page: The Lecturer will join a team of faculty noted for excellence and innovation in graduate and undergraduate education. The successful candidate will teach courses at the graduate level. This position will work with faculty and advising staff to assess student outcomes and foster student success. 

Other Functions 
           ♣ Work collaboratively and effectively to promote teamwork, diversity, equality and inclusiveness.  
           ♣ Work in partnership with colleagues within the CNS community and across the campus to support the Dean’s strategic priorities.  
           ♣ Perform other duties as assigned in support of the mission and goals of the College of Natural Sciences.

Minimum Requirements 

            • A PhD degree in statistics or a closely related field is required.  

Preferred Qualifications 

            • Ideally, candidates will have experience in teaching statistics at the graduate level, be knowledgeable of course design, assessment methods and teaching strategies and be skilled at implementing best practices in the use of emerging pedagogical applications.                                      
            • Desired skills and experience include at least one of the following: development of computational statistics and statistical data science-related graduate courses, designing and teaching such courses in  online and hybrid formats and advising students.                                

Additional Information 

             • Salary will be commensurate with skills and experience. 
             • The University is committed to active recruitment of a diverse faculty and student body. Broad   diversity is essential to an inclusive climate and critical to the University’s goals of achieving                           excellence in all areas. We will holistically assess the many qualifications of each applicant and  favorably consider an individual’s record working with students and colleagues with broadly diverse perspectives, experiences, and backgrounds in educational, research or other work activities.  We will also favorably consider experience overcoming or helping others overcome barriers to an academic degree and advising students.                                                                                                          


 Postal mail: Apply online

This employer is not accepting applications for this position through Mathjobs.Org. Please apply at
Contact: Liming Liu, 413-545-0510, 413-545-1801 (fax)
Postal Mail:
Department of Math & Stat
University of Massachusetts
Amherst, Ma 01003
Web Page:

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