Assistant or Associate Teaching Faculty, Data Science
Drexel University, College of Computing and Informatics
The Information Science Department invites applications for a full-time teaching faculty position at the rank of assistant or associate professor with a specialization in data science.
Teaching faculty are a valued members of the professoriate at Drexel, as teaching is central to the University’s mission. Teaching faculty are also leaders and contributors to service at the Department, College and University levels. While not eligible for tenure, teaching faculty are full members of the faculty with all the attendant responsibilities and privileges, and the faculty life cycle includes promotion to the ranks of associate and full teaching professor. Following the University’s newly approved Non–Tenure-Track Full-Time Faculty Policy, the initial contract is for 2–3 years, and reappointment terms are typically longer. The University also offers numerous professional development opportunities for teachers, such as programming from the Teaching and Learning Center.
The Information Science Department is located in a state-of-the-art facility with classrooms, research and student labs, and abundant space to promote collaboration and innovation. It offers a variety of B.S., M.S., and Ph.D. degrees spanning all areas of computing and informatics. It instills the knowledge and skills necessary for students to lead and innovate across different domains in a rapidly evolving technological landscape.
Candidates are expected to have:
· Expertise in information science with an emphasis in data science.
· Experience in data science competencies and curriculum development.
· Experience in teaching or training in face-to-face and online environments.
· Broad knowledge in the cutting edge of information science and interest in promoting information science to a wide audience.
· A vision for interdisciplinary information science education in the 21st century.
· A graduate degree in a relevant field.
The ideal candidate will have expertise in one or more of the following specific areas of data science: natural language processing, large language processing models, advanced deep learning, data engineering on data pipelines, ETL, data streaming, data orchestration, and data governance.
Full Time