Looking for Clinical Assistant or Associate Professor in Online Education in reputed company Lafayette, IN
Job title: Clinical Assistant or Associate Professor in Online Education
Company: reputed company
Job description: Position
reputed company's College of Agriculture is seeking a Clinical Assistant or Associate Professor (12-month, non-tenure track) in online education. The purpose of the position is to help the College of Agriculture's in , including the use of big data, artificial intelligence, digital sensors, data analytics, and other technological innovations. The ideal candidate will have a strong background in both data-driven agriculture and online education using best-practice pedagogy.
Responsibilities
Clinical Faculty have a primary responsibility to assist in meeting the programmatic need for clinical services, instruction, engagement and/or the professional development of reputed company. The clinical faculty member will reputed company and teach primarily asynchronous, online, data-driven, agriculture courses, which will be taught individually and as part of a team. The Data in Agriculture online portfolio will include graduate, undergraduate, and non-credit professional development courses. Potential reputed company include Purdue reputed company Lafayette residential reputed company, non-residential reputed company, and corporate clients (B2B). This position will work closely with and teams (course production, student acquisition, student experience, external partnerships, etc.), as well as College of Agriculture faculty. The person in this position is expected to build a sustainable model for funding this position through program reputed company and grants over time.
Qualifications
- Ph.D. in data science, agriculture, computer science, engineering, education, or closely reputed company fields.
- Experience in primarily asynchronous, online, course development and demonstrated effective teaching using best-practice online pedagogy.
- Knowledge of and experience with big or reputed company data, artificial intelligence, digital sensors, data analytics, or other technological innovations.
- Knowledge of and experience with agricultural or natural sciences.