Job no: 512790
Work type: Faculty Part Time/Adjunct
Location: UMass Amherst
Department: Dean - Social & Behavioral Sci
Union: MSP
Categories: Faculty, College of Social and Behavioral Sciences

About UMass Amherst

UMass Amherst, the Commonwealth's flagship campus, is a nationally ranked public research university offering a full range of undergraduate, graduate and professional degrees. The University sits on nearly 1,450-acres in the scenic Pioneer Valley of Western Massachusetts, and offers a rich cultural environment in a bucolic setting close to major urban centers. In addition, the University is part of the Five Colleges (including Amherst College, Hampshire College, Mount Holyoke College, and Smith College), which adds to the intellectual energy of the region.

Job Description

The Data Analytics and Computational Social Science (DACSS) Program at the University of Massachusetts Amherst (https://www.umass.edu/sbs/data-analytics-and-computational-social-science-program/about) is seeking non-tenure track, part-time faculty to teach a variety of courses remotely to our online certificate and masters students, or in-person in Boston or Amherst to our in-person students. We are seeking candidates with experience in teaching topics in data science, quantitative analysis, or research design, to teach DACSS core courses (DACSS 601 Data Science Fundamentals, DACSS 602 Research Design, and DACSS 603 Introduction to Quantitative Analysis) or core technical electives (Survey design and analysis, Text as Data, Networks, Machine Learning, Experiments, Simulations and Formal Models, Data Visualization, or advanced quantitative courses.) candidates with active research experience in these areas are especially encouraged to apply and would be welcome to offer related courses to our online students. The program provides course materials and training to support asynchronous and hybrid learning.

Minimum Qualifications (Knowledge, Skills, Abilities, Education, Experience, Certifications, Licensure)

Candidates must have a Ph.D. in anthropology, communications, economics, political science, psychology, sociology, computer science, data science, or a related discipline, or a master’s with commensurate professional experience. Successful candidates will have demonstrated teaching and/or research interests in computational social science, and will be able to demonstrate strong verbal and written communication skills, as well as an ability to work with diverse populations. 

Special Instructions to Applicants

Please submit your CV, a letter of interest and the contact information of three (3) professional references to DACSS@Umass.edu.

Please note that teaching assignments are not guaranteed, and applicants may not be hired in the order that they enter the pool. Successful applicants will be assigned classes, as needed, for the summer 2022 and following semesters.

The College of Social and Behavioral Sciences is committed to building and sustaining an equitable and inclusive work environment where cultural diversity is celebrated and valued. We believe diversity benefits and enriches the development of all of our students, staff, and faculty in our college. To learn more, please visit https://www.umass.edu/sbs/diversity-equity-and-inclusion.

UMass Amherst is committed to a policy of equal opportunity without regard to race, color, religion, gender, gender identity or expression, age, sexual orientation, national origin, ancestry, disability, military status, or genetic information in employment, admission to and participation in academic programs, activities, and services, and the selection of vendors who provide services or products to the University. To fulfill that policy, UMass Amherst is further committed to a program of affirmative action to eliminate or mitigate artificial barriers and to increase opportunities for the recruitment and advancement of qualified minorities, women, persons with disabilities, and covered veterans. It is the policy of the UMass Amherst to comply with the applicable federal and state statutes, rules, and regulations concerning equal opportunity and affirmative action.

Advertised: Jan 19 2022 Eastern Standard Time
Applications close: