Unfortunately, this job is expired as of 5/2/2016.
To continue in your search through the appropriate job categories, click either Administrative Staff, Higher Education Executives, Faculty, Post-Doc and Graduate Assistants, . You can also utilize "guess-free" keyword search tools with up to eight pre-defined criteria. Search for and Apply to academic postings directly from the site. Post your background either confidentially or overtly. Stand out and be discovered!
Job ID: 2172
This nine-month, non-tenure earning position with two months summer support is responsible for providing leadership and administration associated with a newly established Center for Analytics and Data Science as well as 50% effort dedicated to teaching during the fall and spring semesters.
The Associate Director will work with the Faculty Director and Steering Committee of the Center to provide support in all duties of Center management and operations including the following responsibilities.
o Coordinating and overseeing center staff
o Coordinating and overseeing technology needs and support
o Planning and organizing Center events
o Disseminating center activities and accomplishments
o Overseeing certificate programs and workshops
o Interacting with corporate partners
o Reviewing and prioritizing project opportunities with the Faculty Director
o Selecting and staffing projects
o Managing projects to ensure quality and timely delivery to partners
o Hiring and supervising student associates of the Analytics Lab
The teaching appointment will be in Department of Information Systems & Analytics (ISA) and will support the rapidly growing minor in Business Analytics and the Co-major in Analytics. The appointment will be at the rank of Instructor for candidates with a Master’s degree and at the rank of Visiting Assistant Professor for candidates with a Ph.D. This is a nine-month position with an additional two months of summer support for paid administrative duties.
Qualified candidates should hold a Master’s in an analytics or data science related area (statistics, management science, computer science, information technology, industrial engineering, etc.) and have industry experience in delivering client solutions. The candidate must be qualified to teach in one or more of the following areas: statistics, management science, data management, database, management of large/unstructured data, text analysis and data visualization. Candidates should possess a strong desire to attract, engage, and educate the strongest students in the evolving fields of Analytics and Data Science.
Ph.D. in an analytics or data science related area (statistics, management science, computer science, information technology, industrial engineering, etc.) and prior academic experience in analytics, statistics, information technology, or a related area.
Miami University, an equal opportunity/affirmative action employer with smoke- and tobacco-free campuses, is committed to a multicultural environment and strongly encourages applications from minorities, females, veterans and individuals with disabilities.
You were inactive for over twenty minutes. To protect you, we have logged you out. Any unsaved data has been lost.