|Position ID:||Brandeis-COSCI-ASST [#8683]|
|Position Title:||Assistant Professor of Machine Learning and Data Science|
|Position Type:||Tenured/Tenure-track faculty|
|Position Location:||Waltham, Massachusetts 02453, United States [map]|
|Subject Areas:||Data Science|
|Appl Deadline:||2017/01/16 (posted 2016/12/07, listed until 2017/06/07)|
|The Computer Science Department at Brandeis University invites applications for a full-time, tenure-track assistant professor, beginning Fall 2017, in the broad area of Machine Learning and Data Science, including but not limited to deep learning, statistical learning, large scale and cloud-based systems for data science, biologically inspired learning systems, and applications of analytics to real-world problems. Of interest are persons with collaborative potential or experience with other strong areas at Brandeis such as life sciences, international finance, and social policy. Applicants must have a Ph.D. in Computer Science or a closely related field, and must have completed all requirements for the doctoral degree by the start of the position.
Brandeis hosts world-class research in the setting of a small liberal-arts university located only 7 miles from Boston. It is part of the vibrant industrial and research community of the greater Boston/Cambridge area and a member of the Association of American Universities, ranked in the top 35 by US News. The Computer Science department has 12 regular faculty members who have a teaching load of one course per semester and diverse research interests. Our outstanding undergraduates, currently 50 per year, attain positions across industry as well as elite graduate schools. The department benefits from collaborative opportunities within the University and the greater Boston area. It offers a Ph.D. degree in Computer Science and several Master’s degree programs that collectively produce another 60 graduates per year. The department also hosts the Linguistics major, and our Master's program in Computational Linguistics is nationally recognized.
Brandeis University is an equal opportunity employer, committed to building a culturally diverse intellectual community, and strongly encourages applications from women and minorities. Diversity in its student body, staff and faculty is important to Brandeis’ primary mission of providing a quality education. The search committee is therefore particularly interested in candidates who, through their creative endeavors, teaching and/or service experiences, will increase Brandeis’ reputation for academic excellence and better prepare its students for a pluralistic society.
To apply, please submit a cover letter, a curriculum vitae, a research and a teaching statement, up to three publications, and at least three letters of reference, to AcademicJobsOnline at https://academicjobsonline.org/ajo/jobs/8683. First consideration will be given to applications received by January 16, 2017.