Associate Professor - Information Access/HCI/Social Computing


The College of Information and Computer Sciences was created in 2015 and is rapidly building on the foundation of our strong computer science program. Our faculty are remarkably collaborative and are involved in interdisciplinary research with many other departments and universities. We have a long history of working with industry, and the new centers in data science, cybersecurity, smart and connected society, and computational social science, are aggressively expanding the range of industry partners and funding. For more information, visit
The University of Massachusetts Amherst (, the flagship campus of the University of Massachusetts system, is a nationally ranked public research university and home to over 22,000 undergraduate and 6,000 graduate students. The 1,430 acre campus is located in the scenic Pioneer Valley of western Massachusetts, with easy access to Boston and New York City. UMass Amherst, along with Amherst, Hampshire, Mount Holyoke and Smith Colleges, is a member of the Five College Consortium and the Academic Career network.



The College of Information and Computer Sciences (CICS) at the University of Massachusetts Amherst (UMass Amherst) invites applications for a tenure-track faculty position at the Associate Professor level in the broad area of information retrieval, digital libraries, human-computer interaction, or social computing. Exceptional candidates at other ranks may be considered. The position is part of a new initiative to develop a top-quality information science or informatics program based on our highly-rated computer science program.


September 1, 2018



The candidate is expected to build a nationally recognized research group and provide leadership in the formation of a new information science program in the college, including developing and teaching courses at the undergraduate and graduate level. We are also interested in candidates who would explore partnerships with the University Library, based on their existing expertise in applied information management, organization, and preservation.



Applicants must have a Ph.D. in Computer Science or a related area and should show evidence of exceptional research capability. Experience related to broader aspects of information science, human factors, or applied computing that will assist in the development of the new program preferred. Examples of specific research areas of interest for this position include information retrieval, web search, NLP, HCI, social computing, information visualization, human computation and crowdsourcing, game design, recommender systems, digital archiving and preservation, digital libraries, economics of information, digital media, digital humanities, and health informatics.



Salary will be highly competitive and commensurate with qualifications and experience.  Inquiries and requests for more information can be sent to:

The university is committed to active recruitment of a diverse faculty and student body. The University of Massachusetts Amherst is an Affirmative Action/Equal Opportunity Employer of women, minorities, protected veterans, and individuals with disabilities and encourages applications from these and other protected group members. Because 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 career.



Review of applications will begin December 1, 2017 and may continue until a suitable candidate pool has been identified. Applicants should submit a cover letter, a curriculum vitae, research statement, statement of teaching interests, and the names and contact information for three references, using the submission link specific to the position.