CUNY Assistant/Associate Professor - Sociology in Queens, New York

FACULTY VACANCY ANNOUNCEMENT

Often referred to as “the jewel of the CUNY system,” Queens College is a place of contrasts: An urban school in a suburban setting, where a large and diverse student body receives personalized attention. This formula has made us one of New York’s premier educational institutions.

With a mission to prepare students to become leading citizens of an increasingly global society, we offer a rigorous education in the liberal arts and sciences under the guidance of a faculty dedicated to both teaching and research. Our liberal arts, science, and pre-professional programs earn us high rankings in prestigious college guides such as The Princeton Review America’s Best Value Colleges. Our students graduate with the ability to think critically, address complex problems, explore various cultures, use modern technologies and information resources, and have won prominence in nearly every field.

The Department of Sociology seeks to fill a vacancy at the rank of Assistant or Associate Professor. This is a tenure track position set to start in Fall 2017. Performs teaching, research and guidance duties in area(s) of expertise. Shares responsibility for committee and department assignments including administrative, supervisory, and other functions.

We are seeking candidates with research experience in the area now often called “Big Data,” “Data Analytics,” or “Data Science.” The preferred candidate is someone who has applied quantitative and statistical techniques, using large datasets, to important sociological issues. Familiarity with emerging techniques and methods from computer science that enable these sorts of analyses is most desirable. These areas of research are still being defined, and we are looking for a candidate who can, in addition to producing cutting edge research, help us to move our curriculum forward at both the MA and BA level to incorporate an emphasis on big data analytics.

Most research-active faculty in the department have an affiliation with the CUNY Graduate School Doctoral Program in Sociology and such an affiliation would be possible for the successful candidate.

The Sociology Department at Queens College is currently the 4th largest Sociology Department in the country. We have a research-active faculty that places a premium on high quality scholarship with real-world applications, and we support a public Sociology that emphasizes broad dissemination of findings in highly regarded academic outlets as well as to lay audiences and popular media. Our undergraduate and graduate curriculum is unusual in its strong emphasis on quantitative analysis and research methods. We seek to emphasize these skills even more strongly by creating a specialized undergraduate major in quantitative reasoning and data analytics, compatible with our MA program in Data Analytics and Applied Social Research (http://qcbigdata.com). Our rigorous MA curriculum prepares graduates for promising careers in a variety of fields—including market research, public opinion research, program assessment, educational assessment, policy analysis, marketing and advertising, and academic research—or to pursue doctoral work in competitive PhD programs. Our program emphasizes advanced analytic skills, including data handling, manipulation, interpretation, and analysis. We also emphasize research process, preparing students to conduct independent projects using a variety of research methods and designs. We offer five concentrations, all sharing the basic core of data analytics and applied research: Applied Social Research, Market Research, Program Evaluation and Policy Analysis, Media and Marketing, and Data Science (“Big Data”).

QUALIFICATIONS

A Ph.D. degree in Sociology or related discipline and significant experience doing teaching and research related to Data Science, Big Data, or Data Analytics are required by time of appointment. Also required are the ability to teach successfully, demonstrated scholarship or achievement, and ability to cooperate with others for the good of the institution. Our preferred candidate has a history of research publication and grants, social media savvy, and an ambitious research agenda that incorporates Big Data and/or advanced analytic techniques.

COMPENSATION

CUNY offers faculty a competitive compensation and benefits package covering health insurance, pension and retirement benefits, paid parental leave, and savings programs. We also provide mentoring and support for research, scholarship, and publication as part of our commitment to ongoing faculty professional development.

HOW TO APPLY

If you are viewing this job posting on any website other than CUNYfirst, please follow the instructions below:

  • Go to www.cuny.edu and click on "Employment"

  • Click "Search job listings"

  • Click on "More options to search for CUNY jobs"

  • Search by Job Opening ID number 15850

  • Click on the "Apply Now" button and follow the instructions.

Please note that candidates must upload a cover letter describing scholarly interest, Curriculum Vita and writing sample as ONE DOCUMENT in any of the following formats: .doc, .docx, .pdf, .rtf, or text format.

**Please use a simple name for the document that you upload, for example, JDoeResume. Documents with long names cannot be parsed by the application system.

Please also send three letters of reference to qcbigdata@gmail.com or through Interfolio or a similar dossier service.

CLOSING DATE

Open until filled with resume review to begin January 15th, 2017.

JOB SEARCH CATEGORY

CUNY Job Posting: Faculty

EQUAL EMPLOYMENT OPPORTUNITY

CUNY encourages people with disabilities, minorities, veterans and women to apply. At CUNY, Italian Americans are also included among our protected groups. Applicants and employees will not be discriminated against on the basis of any legally protected category, including sexual orientation or gender identity. EEO/AA/Vet/Disability Employer.

Location: Queens College

Job Title: Assistant/Associate Professor - Sociology

Job ID: 15850

Full/Part Time: Full-Time

Regular/Temporary: Regular