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Assistant Professor in Data Science

DePaul University’s School of Computing


Location:
Chicago, Illinois
Date:
01/12/2018
2018-01-122018-02-11
Job Type:
Employee
Job Status:
Full Time
Categories:
  • Faculty
DePaul University’s School of Computing
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Job Details

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.

Responsibilities: 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. 

For priority consideration, application materials must be received by February 5, 2018. For questions please contact Raffaella Settimi at rsettimi@cdm.depaul.edu.

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.

Apply at https://facultyopportunities.depaul.edu/postings/1772

Requirements

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.