Rank: Assistant Professor
Teaching undergraduate and graduate courses in data science; conducting research, supervising M.S. and Ph.D. student projects; and contributing through student advising and service to the university community.
Candidates for this position must have a PhD or equivalent. Applicants should be actively engaged in research and have teaching experience in data science, applied artificial intelligence (AI), machine learning, or computational statistics. Rank and salary are commensurate with qualifications and experience.
We encourage candidates who are interested in opportunities for collaborative and interdisciplinary research. We have active and well-established research groups in areas such as biomedical informatics, recommender systems, data visualization, and web data mining. Additionally, our faculty has fostered research and pedagogical collaborations outside of the School of Computing, including in business, hospitality revenue management, computational finance, digital humanities and marketing.
Full-time Faculty 207Posting
Open Until Filled: Yes
Special Instructions Summary
DePaul University’s School of Computing invites applications for a tenure-track position in data science at the rank of assistant professor. The successful candidate will be part of one of the fastest growing and most highly recognized data science programs in the country. Refer to our website for more detail: http://www.cdm.depaul.edu/academics/Pages/MS-in-Predictive-Analytics.aspx
DePaul’s School of Computing is part of the College of Computing and Digital Media (CDM). It is located in the heart of Chicago’s Loop, the central business district of Chicago and offers a variety of undergraduate and graduate programs including Computer Science, Software Engineering, Human Computer Interaction, Game Development, Information Security, and others.
How to apply
As an Equal Employment Opportunity (EEO) employer, DePaul University provides job opportunities to qualified individuals without regard to race, color, ethnicity, religion, sex, sexual orientation, national origin, age, marital status, physical or mental disability, parental status, housing status, source of income or military status, in accordance with applicable federal, state and local EEO laws.