Job Type: Faculty, Non-Tenured
Denison University seeks to hire a tenure-track faculty member to further develop its new interdisciplinary program in Data Analytics to start in the Fall of 2020. Candidates must have earned a Ph.D. no later than August 2020, and have a broad and deep formal education in a humanities discipline and in data-driven approaches to research in that discipline. The successful applicant will be actively engaged in research that applies advanced data analytics techniques to significant literary, historical, philosophical, cultural, linguistic, or artistic inquiry. The successful applicant will also be committed to teaching undergraduate students in an interdisciplinary setting. New hires are normally made at the rank of Assistant Professor, but hiring at an advanced rank may be possible with significant prior experience.
For more information on Denison’s Data Analytics program here.
We seek to hire an individual with deep and innovative background in the humanities and data analysis that is representative of the applied, interdisciplinary nature of Data Analytics. This individual will join an existing group of interdisciplinary faculty to continue to grow and develop the Data Analytics major within our liberal arts curriculum. The candidate will have an opportunity to infuse quantitative and digital humanities examples into our curriculum, and to help raise the level of data-driven humanistic research, awareness, and integration at Denison and in the broader community. Consequently, candidates for the position must have significant formal education in analytics, and actively engage in research that uses or develops advanced data analytics techniques. The ideal candidate will hold a Ph.D. in a humanities discipline or in a data science field, and their research should significantly emphasize data-driven techniques and quantitative approaches to questions within the humanities.
Candidates must demonstrate successful teaching at the undergraduate level and a strong desire for pedagogical and curricular innovation within a liberal arts environment. We are seeking energetic self-starters who have a passion for bridging traditional disciplinary boundaries and an interest in linking the classroom to the wider faculty and community. Teaching responsibilities will include core courses for the Data Analytics major (course specifics can be found here), as well as the potential to design and teach courses in the candidate’s data analytic specialty. The typical teaching load is 5 courses per year.
The Data Analytics Program is growing rapidly at Denison, and is currently among the largest majors on campus, with more than 120 students. As interdisciplinary majors, all students choose a domain area in which to develop disciplinary knowledge in addition to the core Data Analytics skills. Thus, candidates will have an opportunity to creatively engage with students across broad demographic, academic, and career interests, to apply and connect their skill sets.
The Denison faculty is a community of teacher-scholars. Therefore, candidates must also have a clearly articulated, productive research program related to Data Analytics that is able to accommodate undergraduate research and flourish in a liberal arts environment. Denison hosts a vibrant and well-funded undergraduate research program, and offers competitive professional development funds and a pre-tenure research leave following a successful third-year review. Strong resources exist to support and mentor teaching – for example, the Center for Learning and Teaching, Teaching Matters discussions, and workshops to help new faculty transition.
Finally, successful candidates will demonstrate their interest in contributing to campus governance and the life of the broader Denison community. Individuals with a demonstrated interest in community outreach are especially desirable.
Denison University is an increasingly diverse, highly selective, residential liberal arts college enrolling approximately 2,300 students from across the nation and around the world. We are located thirty miles from Columbus, Ohio, the state capital, which hosts a wide range of cultural and artistic opportunities.
• Knowledge of one or more programming languages (R and Python strongly desired)
• Experience and ability to conduct quantitative research in a specific humanities field
• Ability to teach novice to advanced level undergraduate courses
• Very good communication, organization, and team collaboration skills
• Ability to contribute in meaningful ways to the university’s continuing commitment to diversity and inclusive pedagogy
• PhD defense completed no later than August 2020
• PhD in a humanities discipline or data science/analytics with strong research or work experience in digital and/or data-driven approaches to humanistic research.
To apply, please go to the job posting site and submit
• Cover letter speaking to the areas mentioned above
• Curriculum vita
• Statement on your teaching philosophy, experience and effectiveness, including how you will engage with and foster diversity on campus
• Statement on your current and future research program
• 4 references, of which at least 2 must address teaching
• Evidence of effective teaching, including teaching materials and evaluations (if available)
• Recent article-length example of your data analytics related research
• Transcripts of graduate work (unofficial acceptable for applications)
We will begin reviewing applications on October 1, 2019 and continue to consider applications until the position is filled.
To achieve our mission as a liberal arts college, we continually strive to foster a diverse campus community, which recognizes the value of all persons regardless of religion, race, ethnicity, gender, color, gender identity and or expression, sexual orientation, family configuration, disability, socioeconomic status, religion, national origin, age, or military status. For additional information and resources about diversity at Denison please see our Diversity Guide. Denison University is an Affirmative Action, Equal Opportunity Employer.
Posted: September 20, 2019