About CICS
Celebrating almost 60 years of pioneering contributions to computing, the Manning College of Information and Computer Sciences (CICS) at UMass Amherst is home to graduate and undergraduate programs that are ranked among the top twenty-five in the nation by U.S. News & World Report and among the top twenty by CS Rankings. Following a decade of tremendous growth, CICS currently has 88 core faculty, including 20 ACM Fellows, 11 IEEE Fellows, and 36 NSF CAREER Award winners. CICS research encompasses all major technical specializations across the profession and serves as the focal point for interdisciplinary computing research at UMass Amherst, with affiliated research centers such as the Center for Intelligent Information Retrieval, the Center for Data Science, the Center for Smart and Connected Society, the Computational Social Science Institute, and the Cybersecurity Institute, as well as the new NIH-funded Massachusetts AI and Technology Center for Connected Care in Aging and Alzheimer's Disease.
The college currently enrolls approximately 300 doctoral students, 400 master's students, and 2,000 undergraduate students in its computer science and informatics programs and continues to build on its history of innovative teaching with new programs in public interest technology and a growing online master's program. The college's new building, slated to open in the spring of 2025, is being designed to accommodate its growth and serve as a hub for community, collaboration, and research. The CICS community is united by a revolutionary vision for computing research, education, and outreach--Computing for the Common Good--and is committed to inspiring and educating students from all backgrounds and experiences, while conducting research that improves the lives of the people of the Commonwealth and the world. More information about the college can be found at cics.umass.edu.
Job Description
The Manning College of Information and Computer Sciences (CICS) at the University of Massachusetts Amherst invites applications for tenure-track faculty in the broad area of Data Management, at the Assistant and Associate Professor levels. Current faculty interests include systems and algorithms for data exploration, in-database analytics and machine learning, explainability, fairness, graph data, uncertain data, privacy, stream processing, high-performance data management and machine learning, and more.
As a campus with an increasingly diverse student body, we encourage applications from women, people of color, members of the LGBTQ community, and individuals with a commitment to mentoring individuals from historically marginalized groups in computer science.
Requirements
Before starting in this position, applicants must hold a PhD in Computer Science or a related area and should show evidence of exceptional research promise.
Additional Information
Starting Date: September 1, 2024. Other start dates (e.g., Spring 2025 or Fall 2025) may be considered.
UMass Amherst and CICS are very supportive of dual-career families. We have a Partner Employment Program and will work with candidates to find opportunities for partners within CICS, across the University, and in the nearby community. Although UMass does not guarantee job placement, efforts are made to help secure a position for spouses or partners. For more information on our Partner Employment Program or other faculty benefits, please see https://www.umass.edu/prospective-faculty/work/balance.
Salary will be highly competitive and commensurate with qualifications and experience. Inquiries and requests for more information can be sent to: facrec@cs.umass.edu.
Application Instructions
To apply, please submit an application on the UMass website.
We will begin interviewing in January 2024. To ensure consideration for a Winter/Spring interview, we encourage you to apply no later than December 1, 2023.
Candidates must provide the following in their application package.
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 career and degree.