Syracuse University invites applications for the position of Assistant Professor of Sport Management/Analytics with a focus on Machine Learning, Python, and R.. (Tenure eligible).
The Department of Sport Management is housed in the Falk College of Sport and Human Dynamics. The Sport Analytics degree is an academically rigorous, business-based 126-credit hour curriculum leading to a Bachelor of Science degree, the first of its kind in the nation. It prepares students for immediate entry into the sport industry or graduate school. For more about the program: https://falk.syr.edu/sport-management/academic-programs/#bssa
Qualifications An earned doctorate in data science, analytics, statistics, mathematics, economics, finance or a related discipline. Required skills include proficiency in some combination of Python, R, Database, SQL or similar. A demonstrated record of teaching and excellent research potential is desired, along with a strong background and knowledge of the sports industry. We are specifically searching for candidates with a strong interest in machine learning, automation, data mining, data visualization, and similar skills.
Responsibilities Primary duties include, but are not limited to, undergraduate and potential graduate instruction in the Sport Analytics degree programs. We are seeking to hire a PhD with a background in Data Analytics or Data Science. The ideal candidate will have strong mathematics and computer skills. Background and research interest in empirical modeling on the business-side, player/team-side, or both areas of the sports industry is essential to this position.
The ability to be able to teach and perform research on big data in sports using databases, SQL, R, Python, Machine Learning techniques, visualization, and other related programs and skills are essential to this position. The successful candidate will be expected to perform individual and corroborative research important to the field and to oversee and help with undergraduate research as it relates to their senior thesis in Sport Analytics.
In addition to teaching responsibilities, the successful candidate will assist with academic student advising, including course selection and strategic career planning; become an active participant in scholarly activities and community service; and effectively handle other responsibilities associated with being a tenure-track faculty member. The successful candidate will also work collaboratively with other academic units and departments across the College, campus, and the local, regional and national sport industry. Syracuse University is an equal opportunity/affirmative action employer with a strong commitment to equality of opportunity and a diverse work force.
Syracuse University is an equal-opportunity, affirmative-action institution. The University prohibits discrimination and harassment based on race, color, creed, religion, sex, gender, national origin, citizenship, ethnicity, marital status, age, disability, sexual orientation, gender identity and gender expression, veteran status, or any other status protected by applicable law to the extent prohibited by law. This nondiscrimination policy covers admissions, employment, and access to and treatment in University programs, services, and activities.
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